Journals Menu
Follow SCIRP
Contact us
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat

Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org
"Survey of Machine Learning Algorithms for Disease Diagnostic"
written by Meherwar Fatima, Maruf Pasha,
published by Journal of Intelligent Learning Systems and Applications, Vol.9 No.1, 2017
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Use of Deep Learning for Disease Detection and Diagnosis
2021
[2] Rummage of Machine Learning Algorithms in Cancer Diagnosis
2021
[3] Deep Learning Architectures for Medical Diagnosis
2021
[4] Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm
2021
[5] HEART DISEASE CLASSIFICATION USING MACHINE LEARNING TECHNIQUES
2021
[6] Exploring Machine Learning Techniques for Coronary Heart Disease Prediction
2021
[7] Detecting abusive Instagram comments in Turkish using convolutional Neural network and machine learning methods
2021
[8] Early Prediction of Diabetes Disease & Classification of Algorithms Using Machine Learning Approach
2021
[9] A hybrid cardiovascular disease prediction system using machine learning algorithms
2021
[10] Applications of artificial intelligence and machine learning approaches in echocardiography
2021
[11] Process Mining in Healthcare
2021
[12] A Survey on Diverse Chronic Disease Prediction Models and Implementation Techniques
2021
[13] IDMPF: intelligent diabetes mellitus prediction framework using machine learning
2021
[14] Integrated UnderOversampling Responsive based Fetal Health Prediction using Cardiotocographic Data
2021
[15] Hybrid stacked ensemble combined with genetic algorithms for Prediction of Diabetes
2021
[16] Detecting COVID-19 in chest images based on deep transfer learning and machine learning algorithms
2021
[17] Expert Advice-Disease prediction using Machine Learning
2021
[18] A Comparative Study of Machine Learning Classifiers for Diabetic Retinopathy Detection
2021
[19] Deep Neural Network Based Ensemble learning Algorithms for the healthcare system (diagnosis of chronic diseases)
2021
[20] KNN and Decision Tree Model to Predict Values in Amount of One Pound Table
2021
[21] The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19
2021
[22] Deep Learning Frameworks in Healthcare Systems
2021
[23] Real-time healthcare monitoring using smart systems: A step towards healthcare service orchestration Smart systems for futuristic healthcare
2021
[24] Exploring Machine Learning in Healthcare and its Impact on the SARS-CoV-2 Outbreak
2021
[25] Pattern Recognition of the COVID-19 Pandemic in the United States: Implications for Disease Mitigation
2021
[26] Minimum Relevant Features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Data Set
2021
[27] A Multi-Scale and Multi-Level Fusion Approach for Deep Learning-Based Liver Lesion Diagnosis in Magnetic Resonance Images with Visual Explanation
2021
[28] A Predictive Analysis of Chronic Kidney Disease by Exploring Important Features
2021
[29] Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities
2021
[30] Exploration of Machine Learning Methods for Classifying Myocardial Sectors Based on Blood Flow Measurement
2021
[31] A Predictive Framework for Haptic Enabled VR-based Remote Phobia Treatment in Cloud/Fog Environment
2021
[32] CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
2021
[33] Automated major depressive disorder detection using melamine pattern with EEG signals
2021
[34] Machine Learning Applications for IoT Healthcare
2021
[35] pin ¯ -TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients
2021
[36] An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images
2021
[37] The role of machine learning algorithms for diagnosing diseases
2021
[38] Machine learning: Algorithms, real-world applications and research directions
2021
[39] breast cancer diagnosis based on k-nearest neighbors: A review
2021
[40] Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation …
2021
[41] Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
2021
[42] Bayesian hierarchical factor regression models to infer cause of death from verbal autopsy data
2021
[43] A Novel Approach for Fault Detection in the Aircraft Body Using Image Processing
2021
[44] An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
2021
[45] The Societal Implications of Deep Reinforcement Learning
2021
[46] Machine Learning Based Model to Predict Stock Prices: A Survey
2021
[47] A Survey on Detection and Classification of Chronic Kidney Disease with a Machine Learning Algorithm
2021
[48] Advanced Echocardiography Techniques: The Future Stethoscope of Systemic Diseases.
2021
[49] Predicting Congestive Heart Failure Risk Factors in King Abdulaziz Medical City A Machine Learning Approach
2021
[50] A machine learning model for prediction of heart disease
2021
[51] Applying PC Algorithm and GES to Three Clinical Data Sets: Heart Disease, Diabetes, and Hepatitis
2021
[52] Monotonic Functions Method and Its Application to Staging of Patients with Prostate Cancer According to Pretreatment Data
2021
[53] Hierarchical Random Forest Formation with Nonlinear Regression Model for Cardiovascular Diseases Prediction
2021
[54] APPLICATION OF MULTI-LABEL CLASSIFICATION ALGORITHM TO IMPROVE DIAGNOSTIC QUALITY OF HEART DISEASES
2021
[55] Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
2021
[56] Performance Assessment of Ensemble Learning Model for Prediction of Cardiac Disease Among Smokers Based on HRV Features
2021
[57] Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics
2021
[58] Performance Evaluation of Classification Models for HIV/AIDS Dataset
2021
[59] Ensemble machine learning based prediction of dengue disease with performance and accuracy elevation patterns
2021
[60] Application of data mining techniques for avoiding underestimation of an event
2021
[61] Machine Learning with Applications to Heart Failure Data Analysis and Processing
2021
[62] Smart IoT Treatment: Making Medical Care More Intelligent
2021
[63] University Admissions Predictor Using Logistic Regression
2021
[64] for MSc degree in the specialty 121 Software Engineering Title: SOFTWARE METHOD FOR DETECTING DISEASES BASED ON PATIENTS' …
2021
[65] Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
2021
[66] Usages of Spark Framework with Different Machine Learning Algorithms
2021
[67] Detection of Liver disorder using RBF SVM in comparison with Naive Bayes to measure the accuracy, Precision, sensitivity and specificity
2021
[68] Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
2021
[69] Perspective and Experiences of Decision Support Systems (DSS) and AI in Prevention and Care for Older Adults
2021
[70] Fostering reproducibility, reusability, and technology transfer in health informatics
2021
[71] Better Application of Bayesian Deep Learning to Diagnose Disease
2021
[72] EFFECTIVE RESEARCH ON ESTIMATION AND DETECTION OF CARDIOVASCULAR DISORDERS WITH ML & DM ALGORITHMS
2020
[73] A study on a virtual agent for dengue fever decision support based on conversations and ontology
2020
[74] A Novel Risk Factor Analysis model for Heart Disease Classification and using Convolution Neural Network
2020
[75] Fairness Testing of Machine Learning Models Using Deep Reinforcement Learning
2020
[76] The Extent Of Applying Intelligent Systems For Learning Within Higher Educational Institutions In Jordan: The Mediating Factor Of Cultural And Social Transformation Towards Smart Education
Journal of Critical Reviews, 2020
[77] Prediction Of Heart Disease Using Hybrid Linear Regression
2020
[78] A comparative analysis on diagnosis of diabetes mellitus using different approaches–A survey
2020
[79] Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients
2020
[80] Performance Investigation of Different Boosting Algorithms in Predicting Chronic Kidney Disease
2020
[81] Machine learning in healthcare diagnosis
2020
[82] MACHINE LEARNING AND ECHOCARDIOGRAM
2020
[83] A Framework for Prediction in a Fog-Based Tactile Internet Architecture for Remote Phobia Treatment
2020
[84] Skin Disease Prediction Using Neural Network Algorithm
International Journal of Computer Science Engineering, 2020
[85] Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine
2020
[86] A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms
2020
[87] Early Detection of Alzheimer's Disease Based on Single Nucleotide Polymorphisms (SNPs) Analysis and Machine Learning Techniques
2020
[88] Fever etiology prediction in neurocritical care patients using Machine Learning
2020
[89] Analytic Predictive of Hepatitis using The Regression Logic Algorithm
2020
[90] Advancing Temporal Modeling and Heterogeneous Data Analysis for Digital Health
2020
[91] Health Analysis System using Machine Learning
2020
[92] An Empirical Study of Assumptions in Bayesian Optimisation
2020
[93] A Comparative Analysis of Machine Learning Techniques for Classification and Detection of Malware
2020
[94] Predicting Diabetic Complications with Unbalanced Data
2020
[95] Dental Care Procedures During COVID-19's Spread
Wasit Journal for Science & Medicine, 2020
[96] Machine Learning based Diabetes Prediction using Decision Tree J48
2020
[97] Using off-the-shelf data-human interface platforms: traps and tricks
2020
[98] A Primitive Way of Diabetes Prediction Using Machine Learning
2020
[99] Automated optimization for memory‐efficient high‐performance deep neural network accelerators
2020
[100] A CONVOLUTIONAL NEURAL NETWORK BASED DETECTION SYSTEM FOR ACUTE APPENDICITIS DISEASE
2020
[101] Diabetes Disease Prediction Using Artificial Intelligence
2020
[102] Prediction of heart disease and classifiers' sensitivity analysis
2020
[103] An Approach for prediction of Heart Diseases using Data Mining Techniques
2020
[104] Applications of Machine Learning for Detecting and Counting Objects in Cell Biology
2020
[105] Early diagnosis of esophageal varices using Boosted-Naïve Bayes Tree: A multicenter cross-sectional study on chronic hepatitis C patients
2020
[106] Monitoring Diabetes Occurrence Probability Using Classification Technique With A UI
2020
[107] Disease diagnosis using machine learning: A comparative study
2020
[108] Antibody engineering by combining genome editing, deep sequencing, and deep learning
2020
[109] Heart Disease Prediction using Machine Learning Techniques
2020
[110] Latest trends on heart disease prediction using machine learning and image fusion
2020
[111] Coronary Artery Disease Detection Using Artificial Intelligence Techniques: A Survey of Trends, Geographical Differences and Diagnostic Features 1991-2020
2020
[112] Clinical applications of extracellular vesicles in the diagnosis and treatment of traumatic brain injury.
2020
[113] Overview of Machine Learning Methods in ADHD Prediction
2020
[114] Optimisation of 2D U-Net Model Components for Automatic Prostate Segmentation on MRI
2020
[115] Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images
2020
[116] Classification of IRIS Dataset using Weka
2020
[117] Neural Network for Detecting Early stages of Alzheimer's Disease
2020
[118] A Privacy Preserve Big Data Analysis System for Wearable Wireless Sensor Network
2020
[119] A Comparative Analysis of Cardiac Data Classification using Support Vector Machine with Various Kernels
2020
[120] Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach
2020
[121] Automated Evaluation System of Stress in Cattle
2020
[122] Breast Cancer Diagnosis using Ensemble Techniques Department of computer Science and Engineering Gudlavalleru Engineering College
2020
[123] Extracting Useful Information and Building Predictive Models from Medical and Health-care Data Using Machine Learning Techniques
2020
[124] Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke
2020
[125] Predicting cancer stage from healthcare claims
2020
[126] Comparison of Different Decision Tree Algorithms for Predicting the Heart Disease
2020
[127] Fuzzy classification of OpenCL programs targeting heterogeneous systems
2020
[128] Challenges and Trends in Clinical Data Analytics
2020
[129] Machine Learning Technology for Evaluation of Liver Fibrosis, Inflammation Activity and Steatosis (LIVERFAStTM)
2020
[130] Bringing Machine Learning Predictive Models Based on Machine Learning Closer to Non-technical Users
2020
[131] An Effective Vision Based Framework for the Identification of Tuberculosis in Chest X-Ray Images
2020
[132] Requirements engineering of a Herpes Simplex Virus patient registry: Alpha phase
2020
[133] Predicting special care during the COVID-19 pandemic: A machine learning approach
2020
[134] Statistic Solution for Machine Learning to Analyze Heart Disease Data
2020
[135] The prospects of quantum computing in computational molecular biology
2020
[136] Disease Symptom Analysis Based Department Selection Using Machine Learning for Medical Treatment
2020
[137] predicting Short-term Survival after Liver transplantation using Machine Learning
2020
[138] Taylor Bird Swarm Algorithm Based on Deep Belief Network for Heart Disease Diagnosis
2020
[139] Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence
2020
[140] A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms
2020
[141] Neutrosophic Sets and System s
2020
[142] Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks
2020
[143] Adding feature selection on Naïve Bayes to increase accuracy on classification heart attack disease
2020
[144] Minimizing Attributes for Prediction of Cardiovascular Diseases
2020
[145] Current understanding of the metabolism of micronutrients in chronic alcoholic liver disease
2020
[146] Machine Learning to Diagnose Common Diseases Based on Symptoms
2020
[147] Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies: An Empirical Study Based on TENSORFLOW, PYTORCH and KERAS
2020
[148] Deep artificial neural network based on environmental sound data for the generation of a children activity classification model
2020
[149] Diabetes Prediction using BPSO and Decision Tree Classifier
2020
[150] An insight into application of big data analytics in healthcare
2020
[151] Secure and Robust Machine Learning for Healthcare: A Survey
2020
[152] The Working of Various Prediction Techniques For Heart Diseases–A Case Study
2020
[153] SMOTEFUNA: Synthetic Minority Over-sampling Technique based on Furthest Neighbour Algorithm
2020
[154] Application and Prospective Discussion of Machine Learning for the Management of Dairy Farms
2020
[155] Determination of the Maturation Status of Dendritic Cells by Applying Pattern Recognition to High-Resolution Images
2020
[156] A benchmark terrorist face recognition database
2020
[157] Penggunaan Machine Learning Di Bidang Kesehatan
2020
[158] Crowdsourcing human-based computation for medical image analysis: A systematic literature review
2020
[159] Differentially Private ERM Based on Data Perturbation
2020
[160] Intelligent Personalized Abnormality Detection for Remote Health Monitoring
2020
[161] Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka
2020
[162] Study of AdaBoost and Gradient Boosting Algorithms for Predictive Analytics
2020
[163] Classification of plantar foot alterations by fuzzy cognitive maps against multi-layer perceptron neural network
2020
[164] Performance Assessment of Supervised Learning Techniques for Caesarean Rate Prediction
2020
[165] A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
2020
[166] Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review
2020
[167] Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine
2020
[168] Disease Detection System (DDS) Using Machine Learning Technique
2020
[169] Machine Learning in Python: Diabetes Prediction Using Machine Learning
2020
[170] An Ensemble Learning Model to Predict Mental Depression Disorder Using Tweets
2020
[171] Advancements in Applications of Microbiology and Bioinformatics in Pharmacology
Int J Life Sci Pharma Res., 2020
[172] Implementation of Machine Learning Algorithms for Analyzing Diabetes Disease
2019
[173] Classifying Heart Disease Dataset Using Machine Learning
2019
[174] Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification
2019
[175] Performance of machine learning approaches on prediction of esophageal varices for Egyptian chronic hepatitis C patients
2019
[176] Prediction of Type 2 Diabetes Using Hybrid Algorithm
2019
[177] Performance of Hybrid Ensemble Classification Techniques for Prevalence of Heart Disease Prediction
International Journal of Innovative Technology and Exploring Engineering, 2019
[178] An Intelligent Medical Diagnosis System with Tree-Seed Algorithm Trained Support Vector Machines
2nd International Conference on Data Science and Applications, 2019
[179] Application of Machine Learning to Predict Diseases Based on Symptoms in Rural India
2019
[180] Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
2019
[181] Detection of chronic kidney disease using machine learning algorithms with least number of predictors
2019
[182] Adaptive Semi-Supervised Classification by Joint Global and Local Graph
2019
[183] Machine Learning for Health informatics in the field of Diabetics
2019
[184] Artificial intelligence in cardiovascular imaging: JACC state-of-the-art review
2019
[185] Role and Performance of Different Traditional Classification and Nature-Inspired Computing Techniques in Major Research Areas
2019
[186] Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph
2019
[187] Unsupervised Classification Approach to Developing a Medical Diagnosis Based on the Results of Prepared Tests
2019
[188] Aplicación de Tecnologías de la Información y Comunicaciones Avanzadas
10th International Congress on Application of Advanced Information and Communications Technologies, 2019
[189] Protein Sequence in Classifying Dengue Serotypes
2019
[190] An effective clinical decision support system using swarm intelligence
2019
[191] Current Techniques for Diabetes Prediction: Review and Case Study
2019
[192] Reinforcement Learning in Healthcare: A Survey
2019
[193] Parkinson's Disease Classification Using Artificial Neural Networks
2019
[194] Review of the machine learning methods in the classification of phishing attack
2019
[195] Prediction and Diagnosis of Diabetes Mellitus Using a Water Wave Optimization Algorithm
2019
[196] A Comparison of Machine Learning Algorithms and their Applications
IJSSST, 2019
[197] A Review on Machine Learning Techniques for Data-Driven Heart Disease Prediction
2019
[198] Neural Networks For Malware Detection Using Static Analysis
2019
[199] SynSys: A Synthetic Data Generation System for Healthcare Applications
2019
[200] Ensemble method based predictive model for analyzing disease datasets: a predictive analysis approach
2019
[201] A machine learning evolutionary algorithm-based formula to assess tumor markers and predict lung cancer in cytologically negative pleural effusions
2019
[202] A Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with Analytics
2019
[203] Machine Learning Techniques for Tuberculosis Prediction
2019
[204] Enhancing the Performance of Classification Using Super Learning
2019
[205] Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
2019
[206] Die Orientierung von Online-Journalismus an seinen Publika
Springer Fachmedien Wiesbaden , 2019
[207] Two-Class Classification: Comparative Experiments for Chronic Kidney Disease
2019
[208] Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study
2019
[209] Performance Evaluation of Supervised Machine Learning Algorithms Using Different Data Set Sizes for Diabetes Prediction
2019
[210] Performance Analysis of Machine Learning Algorithms and Feature Selection Methods on Hepatitis Disease
2019
[211] Contribution to the comparison of Machine Learning algorithms
2019
[212] A Web-Based Decision Support System of Patient Time Prediction Using Iterative Dichotomiser 3 Algorithm
2019
[213] Modelling LSUTE: PKE Schemes for Safeguarding Electronic Healthcare Records Over Cloud Communication Environment
2019
[214] Incentivizing & Promoting Sustainable Seed Innovations in India: A Three-Pronged Approach
2019
[215] Modeling of Heart Data using PSO and A-Priori Algorithm for Disease Prediction
2019
[216] The Hybrid Machine Learning Model Based on Random Forest Optimized by PSO and ACO for Predicting Heart
2019
[217] Deep Analytics based Patterns Evaluation from Nano-Particle Datasets
2019
[218] Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach
2019
[219] Anticipation of Heart Disease Using Machine Learning Algorithms Optimised By Feature Optimisation
Journal of Multi Disciplinary Engineering Technologies, 2019
[220] Improving Diabetes Diagnosis in Smart Health Using Genetic-based Ensemble learning algorithm Approach to IoT Infrastructure
2019
[221] An Interactive and Predictive Pre-diagnostic Model for Healthcare based on Data Provenance
2019
[222] Generative Learning in VLSI Design for Manufacturability: Current Status and Future Directions
J. Microelectron. Manuf., 2019
[223] Risk stratification of patients for development of cardiac diseases using knowledge transfer
2019
[224] Exploiting the interplay between cross-sectional and longitudinal data in Class III malocclusion patients
2019
[225] A Hybrid Apporach of Classification Techniques for Predicting Diabetes using Feature Selection
2019
[226] DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values
2019
[227] Artificial Intelligence in Cardiovascular Imaging
2019
[228] A robust voting approach for diabetes prediction using traditional machine learning techniques
2019
[229] Improving diabetes diagnosis in smart health using genetic-based Ensemble learning algorithm. Approach to IoT Infrastructure
2019
[230] An Artificial Neural Network Model to Diagnosis of Type II
2019
[231] Performance Analysis of Supervised Classifying Algorithms to Predict Diabetes in Children
Journal of Xi'an University of Architecture & Technology, 2019
[232] Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka.
2019
[233] A Web-Based Skin Disease Diagnosis Using Convolutional Neural Networks
2019
[234] A Comparison of Machine Learning Algorithms and their Applications.
2019
[235] A New Approach to Improve Mobile Network's Security Through Android Malware Detection Utilizing Static Analysis
Electronics Industries Quarterly, 2019
[236] Automated Health Event Detection in Smart Homes
2019
[237] A Web-Based Skin Disease Detection System: Medilab-Plus
2019
[238] Identifying diseases and diagnosis using machine learning
2019
[239] IoT Device to Detect Anemia: A Non-Invasive Approach with Multiple Inputs
2019
[240] Artificial intelligence in cardiovascular medicine
2019
[241] Die Orientierung von Online-Journalismus an seinen Publika: Anforderung, Antizipation, Anspruch
2019
[242] An artificial neural network model to diagnosis of type II diabetes
2019
[243] Aceleración hardware de clasificación de tráfico TCP/IP cifrado mediante técnicas de Machine Learning
2019
[244] Aceleración hardware de clasificación de tráfico TCP/IP cifrado mediante técnicas de Machine Learning
Masters thesis, 2019
[245] Классификационный подход к выработке медицинского диагноза по результатам подготовленных анализов
2019
[246] Data mining for dengue hemorrhagic fever (DHF) prediction with naive Bayes method.
2018
[247] Analyzing IDS botnets detection
2018
[248] A Metaphoric Investigation on Prediction of Heart Disease using Machine Learning
2018
[249] K-Nearest Neighbour Model Optimized by Particle Swarm Optimization and Ant Colony Optimization for Heart Disease Classification
2018
[250] Hypotheses engine (HypE): exploring structured biomedical datasets in search for predictive patterns
2018
[251] Heart Disease Prediction and Classification Using Machine Learning Algorithms Optimized by Particle Swarm Optimization and Ant Colony Optimization
International Journal of Intelligent Engineering and Systems, 2018
[252] Novel Wrapper-Based Feature Selection for Efficient Clinical Decision Support System
2018
[253] An improved self-labeled algorithm for cancer prediction
2018
[254] A framework for tuberculosis drug resistance classification based on deep transfer learning
ICIST 2018 Proceedings of the International Conference on Intelligent Science and Technology, 2018
[255] Regression analysis for LED color detection of visual-MIMO system
Optics Communications, 2018
[256] Artificial intelligence: a new clinical support tool for stress echocardiography
Expert Review of Medical Devices, 2018
[257] Machine Learning for Drugs Prescription
Intelligent Data Engineering and Automated Learning – IDEAL 2018, 2018
[258] Prediction of Cardiovascular Disease Using Machine Learning Algorithms
2018
[259] Machine learning to detect signatures of disease in liquid biopsies–a user's guide
Lab on a Chip, 2018
[260] Review on plantar data analysis for disease diagnosis
Biocybernetics and Biomedical Engineering, 2018
[261] Machine learning in heart failure: ready for prime time
Current Opinion in Cardiology, 2018
[262] Prediction of Diabetes using Classification Algorithms
Procedia Computer Science, 2018
[263] Identification and isolation of antimicrobial compounds from the flower extract of Hibiscus rosa-sinensis L: In silico and in vitro approaches
Microbial Pathogenesis, 2018
[264] Machine learning algorithms: a background artifact
2018
[265] Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
Knowledge Science, Engineering and Management, 2018
[266] Prediction of Liver Diseases Based on Machine Learning Technique for Big Data
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 2018
[267] TUTORIAL REVIEW
Lab on a Chip, 2018
[268] Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images
Neurocomputing, 2018
[269] A mobile application based decision support system using oxygen saturation and pulse rate
2018
[270] Data mining for dengue hemorrhagic fever (DHF) prediction with naive Bayes method
Journal of Physics: Conference Series, 2018
[271] Predict the Risk of Cardiovascular Diseases in the Future Using Deep Learning
ProQuest Dissertations Publishing, 2018
[272] Early Diabetes Prediction Using Voting Based Ensemble Learning
Advances in Computing and Data Sciences, 2018
[273] Machine Learning in Predicting Hemoglobin Variants
2018
[274] An Intelligent Lightweight Market Basket Associative Rule Mining for Smartphone Cloud-Based Application To Ease Banking Transaction
Advances in Multidisciplinary & Scientific Research, 2018
[275] Artificial intelligence and echocardiography
2018
[276] Classification of Dengue Serotypes Using Protein Sequence Based on Rule Extraction from Neural Network
2018
[277] APPLICATION OF MACHINE LEARNING IN INTELLIGENT KNOWLEDGE SEARCH ALGORITHM
2018
[278] Predizendo epidemias de dengue, no Distrito Federal, utilizando algoritmos de regressão
2018
[279] Determining Cervical Cancer Possibility by Using Machine Learning Methods
2017
[280] Analysis of Data Mining Tools for Disease Prediction
Journal of Pharmaceutical Sciences and Research, 2017
[281] Análisis de readmisión hospitalaria de pacientes diabéticos mediante aprendizaje computacional
2017
[282] Classification and analysis of human activities
2017
[283] Classification of Dengue Gene Expression Using Entropy-Based Feature Selection and Pruning on Neural Network
Intelligent Systems Design and Applications, 2017
[284] Longitudinal Study-Based Dementia Prediction for Public Health
International Journal of Environmental Research and Public Health, 2017
[285] Application of data mining methods in diabetes prediction
2017
[286] Machine learning techniques for classification of diabetes and cardiovascular diseases
2017
[287] Big data management with machine learning inscribed by domain knowledge for health care
2017
[288] Prof., K.(2017)
2017
[289] Classification of Liver Data using a New Algorithm
2017
[290] A Survey on Big Data Techniques in Medical Field
International Journal of Engineering and Advanced Technology, 2017
Follow SCIRP
Twitter Facebook Linkedin Weibo
Contact us
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat
Free SCIRP Newsletters
Copyright © 2006-2023 Scientific Research Publishing Inc. All Rights Reserved.
Top