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):
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[274] KLASIFIKASI CITRA SEL DARAH MERAH TERINFEKSI MALARIA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN)
2021
[275] Iot Data Preprocessing-A Survey
Webology (ISSN: 1735-188X), 2021
[276] Detection of Liver Disorder Using RBF SVM in Comparison with Naïve Bayes to Measure the Accuracy, Precision, Sensitivity and Specificity.
Alinteri Journal of Agriculture …, 2021
[277] Convolutional Neural Networks for Image Segmentation in Clinical Applications
2021
[278] Identification of Breast Cancer Through Digital Processing of Mammograms
Advanced Research in …, 2021
[279] Einsatz maschineller Lernalgorithmen zur mikromagnetischen Materialcharakterisierung
2021
[280] Analyzing the Performance of Anomaly Detection Algorithms
International Journal of …, 2021
[281] An Improved Technique for Diabeties Prediction By Combining Feature Selection Techniques And BFGS Optimization Algorithm With Weight Constrained Neural …
2021 International Conference on …, 2021
[282] What Do Machines Tell us About Dementia? Machine Learning Applied to Aging, Dementia and Traumatic Brain Injury Study
2021
[283] Görme Engelli Bireyler İçin Derin Öğrenme Tabanlı Nesne Tanıma Modeli
Avrupa Bilim ve Teknoloji Dergisi, 2021
[284] Optimization Classification of Diseases Which is Dominant Suffered by Coastal Areas Using Neural Network
2021 International Conference on …, 2021
[285] Machine Learning with Electronic Patient Records for Diagnosis Prediction in General Practice
2021
[286] Identification of pre-clinical cardiovascular imaging phenotypes related to blood pressure in young adults
2021
[287] Machine Learning Applied to the Early Diagnosis of Leukemia Using Biomarkers
Simpósio Brasileiro de Automação …, 2021
[288] Evaluating autoencoders for the dimensionality reduction of MRI-derived radiomics and classification of malignant brain tumors
2021
[289] A Survey on Machine Learning Approach for Canine Disease Detection Algorithm
International Journal, 2021
[290] Arquitectura computacional de analítica de datos IoT para el connected home basada en deep learning
2021
[291] Cognitive Computing for Decision Support
2020
[292] Comparative Analysis and Study of Data Mining Techniques Used for IoT Based Smart Healthcare System
International Journal, 2020
[293] Heart Disease Prediction Analysis Using Various Machine Learning Techniques-A Survey
2020
[294] Deep Learning: Concepts, Types, Applications, and Implementation
Theory of Approximation and …, 2020
[295] Τεχνικές Εξόρυξης Δεδομένων με σκοπό την Ταξινόμηση Καρδιαγγειακών Νόσων
2020
[296] Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks.
KDH@ ECAI, 2020
[297] A reference machine learning model for prediction of cholera epidemics based-on seasonal weather changes linkages in Tanzania
2020
[298] Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients.
pHealth, 2020
[299] Prediction of heart disease and classifiers' sensitivity analysis
2020
[300] An Approach for prediction of Heart Diseases using Data Mining Techniques
2020
[301] Applications of Machine Learning for Detecting and Counting Objects in Cell Biology
2020
[302] Disease Symptom Analysis Based Department Selection Using Machine Learning for Medical Treatment
2020
[303] predicting Short-term Survival after Liver transplantation using Machine Learning
2020
[304] Adding feature selection on Naïve Bayes to increase accuracy on classification heart attack disease
2020
[305] Minimizing Attributes for Prediction of Cardiovascular Diseases
2020
[306] Current understanding of the metabolism of micronutrients in chronic alcoholic liver disease
2020
[307] Machine Learning to Diagnose Common Diseases Based on Symptoms
2020
[308] Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies: An Empirical Study Based on TENSORFLOW, PYTORCH and KERAS
2020
[309] Deep artificial neural network based on environmental sound data for the generation of a children activity classification model
2020
[310] Diabetes Prediction using BPSO and Decision Tree Classifier
2020
[311] The Working of Various Prediction Techniques For Heart Diseases–A Case Study
2020
[312] SMOTEFUNA: Synthetic Minority Over-sampling Technique based on Furthest Neighbour Algorithm
2020
[313] Application and Prospective Discussion of Machine Learning for the Management of Dairy Farms
2020
[314] Determination of the Maturation Status of Dendritic Cells by Applying Pattern Recognition to High-Resolution Images
2020
[315] A benchmark terrorist face recognition database
2020
[316] Taylor Bird Swarm Algorithm Based on Deep Belief Network for Heart Disease Diagnosis
2020
[317] Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence
2020
[318] A Survey of Voice Pathology Surveillance Systems Based on Internet of Things and Machine Learning Algorithms
2020
[319] Neutrosophic Sets and System s
2020
[320] Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks
2020
[321] Penggunaan Machine Learning Di Bidang Kesehatan
2020
[322] Crowdsourcing human-based computation for medical image analysis: A systematic literature review
2020
[323] Differentially Private ERM Based on Data Perturbation
2020
[324] Intelligent Personalized Abnormality Detection for Remote Health Monitoring
2020
[325] Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka
2020
[326] Study of AdaBoost and Gradient Boosting Algorithms for Predictive Analytics
2020
[327] Classification of plantar foot alterations by fuzzy cognitive maps against multi-layer perceptron neural network
2020
[328] Performance Assessment of Supervised Learning Techniques for Caesarean Rate Prediction
2020
[329] A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases
2020
[330] Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review
2020
[331] Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine
2020
[332] Disease Detection System (DDS) Using Machine Learning Technique
2020
[333] An insight into application of big data analytics in healthcare
2020
[334] Secure and Robust Machine Learning for Healthcare: A Survey
2020
[335] Machine Learning in Python: Diabetes Prediction Using Machine Learning
2020
[336] An Ensemble Learning Model to Predict Mental Depression Disorder Using Tweets
2020
[337] Advancements in Applications of Microbiology and Bioinformatics in Pharmacology
Int J Life Sci Pharma Res., 2020
[338] A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms
2020
[339] Early Detection of Alzheimer's Disease Based on Single Nucleotide Polymorphisms (SNPs) Analysis and Machine Learning Techniques
2020
[340] Fever etiology prediction in neurocritical care patients using Machine Learning
2020
[341] Analytic Predictive of Hepatitis using The Regression Logic Algorithm
2020
[342] Health Analysis System using Machine Learning
2020
[343] An Empirical Study of Assumptions in Bayesian Optimisation
2020
[344] Advancing Temporal Modeling and Heterogeneous Data Analysis for Digital Health
2020
[345] A Comparative Analysis of Machine Learning Techniques for Classification and Detection of Malware
2020
[346] Predicting Diabetic Complications with Unbalanced Data
2020
[347] Dental Care Procedures During COVID-19's Spread
Wasit Journal for Science & Medicine, 2020
[348] Machine Learning based Diabetes Prediction using Decision Tree J48
2020
[349] A CONVOLUTIONAL NEURAL NETWORK BASED DETECTION SYSTEM FOR ACUTE APPENDICITIS DISEASE
2020
[350] Diabetes Disease Prediction Using Artificial Intelligence
2020
[351] Using off-the-shelf data-human interface platforms: traps and tricks
2020
[352] A Primitive Way of Diabetes Prediction Using Machine Learning
2020
[353] Automated optimization for memory‐efficient high‐performance deep neural network accelerators
2020
[354] Early diagnosis of esophageal varices using Boosted-Naïve Bayes Tree: A multicenter cross-sectional study on chronic hepatitis C patients
2020
[355] Monitoring Diabetes Occurrence Probability Using Classification Technique With A UI
2020
[356] Disease diagnosis using machine learning: A comparative study
2020
[357] Antibody engineering by combining genome editing, deep sequencing, and deep learning
2020
[358] Heart Disease Prediction using Machine Learning Techniques
2020
[359] Latest trends on heart disease prediction using machine learning and image fusion
2020
[360] Coronary Artery Disease Detection Using Artificial Intelligence Techniques: A Survey of Trends, Geographical Differences and Diagnostic Features 1991-2020
2020
[361] Clinical applications of extracellular vesicles in the diagnosis and treatment of traumatic brain injury.
2020
[362] Overview of Machine Learning Methods in ADHD Prediction
2020
[363] Optimisation of 2D U-Net Model Components for Automatic Prostate Segmentation on MRI
2020
[364] Artificial intelligence in automatic classification of invasive ductal carcinoma breast cancer in digital pathology images
2020
[365] Classification of IRIS Dataset using Weka
2020
[366] Neural Network for Detecting Early stages of Alzheimer's Disease
2020
[367] A Privacy Preserve Big Data Analysis System for Wearable Wireless Sensor Network
2020
[368] A Comparative Analysis of Cardiac Data Classification using Support Vector Machine with Various Kernels
2020
[369] Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach
2020
[370] Automated Evaluation System of Stress in Cattle
2020
[371] Breast Cancer Diagnosis using Ensemble Techniques Department of computer Science and Engineering Gudlavalleru Engineering College
2020
[372] Extracting Useful Information and Building Predictive Models from Medical and Health-care Data Using Machine Learning Techniques
2020
[373] Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke
2020
[374] Predicting cancer stage from healthcare claims
2020
[375] Comparison of Different Decision Tree Algorithms for Predicting the Heart Disease
2020
[376] Fuzzy classification of OpenCL programs targeting heterogeneous systems
2020
[377] Challenges and Trends in Clinical Data Analytics
2020
[378] Machine Learning Technology for Evaluation of Liver Fibrosis, Inflammation Activity and Steatosis (LIVERFAStTM)
2020
[379] Bringing Machine Learning Predictive Models Based on Machine Learning Closer to Non-technical Users
2020
[380] An Effective Vision Based Framework for the Identification of Tuberculosis in Chest X-Ray Images
2020
[381] Requirements engineering of a Herpes Simplex Virus patient registry: Alpha phase
2020
[382] Predicting special care during the COVID-19 pandemic: A machine learning approach
2020
[383] Statistic Solution for Machine Learning to Analyze Heart Disease Data
2020
[384] The prospects of quantum computing in computational molecular biology
2020
[385] A study on a virtual agent for dengue fever decision support based on conversations and ontology
2020
[386] A Novel Risk Factor Analysis model for Heart Disease Classification and using Convolution Neural Network
2020
[387] Fairness Testing of Machine Learning Models Using Deep Reinforcement Learning
2020
[388] 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
[389] Prediction Of Heart Disease Using Hybrid Linear Regression
2020
[390] A comparative analysis on diagnosis of diabetes mellitus using different approaches–A survey
2020
[391] Machine Learning-Based Factor Analysis of Carbohydrate Metabolism Compensation for TDM2 Patients
2020
[392] Performance Investigation of Different Boosting Algorithms in Predicting Chronic Kidney Disease
2020
[393] Machine learning in healthcare diagnosis
2020
[394] MACHINE LEARNING AND ECHOCARDIOGRAM
2020
[395] A Framework for Prediction in a Fog-Based Tactile Internet Architecture for Remote Phobia Treatment
2020
[396] Skin Disease Prediction Using Neural Network Algorithm
International Journal of Computer Science Engineering, 2020
[397] Validation Methods to Promote Real-world Applicability of Machine Learning in Medicine
2020
[398] Reinforcement learning for intelligent healthcare applications: A survey
Artificial Intelligence in …, 2020
[399] EFFECTIVE RESEARCH ON ESTIMATION AND DETECTION OF CARDIOVASCULAR DISORDERS WITH ML & DM ALGORITHMS
2020
[400] Aceleración hardware de clasificación de tráfico TCP/IP cifrado mediante técnicas de Machine Learning
2019
[401] Классификационный подход к выработке медицинского диагноза по результатам подготовленных анализов
2019
[402] An artificial neural network model to diagnosis of type II diabetes
2019
[403] Artificial intelligence in cardiovascular medicine
2019
[404] Implementation of Machine Learning Algorithms for Analyzing Diabetes Disease
2019
[405] Classifying Heart Disease Dataset Using Machine Learning
2019
[406] Exploration of Cervical Myelopathy Location From Somatosensory Evoked Potentials Using Random Forests Classification
2019
[407] Performance of machine learning approaches on prediction of esophageal varices for Egyptian chronic hepatitis C patients
2019
[408] Prediction of Type 2 Diabetes Using Hybrid Algorithm
2019
[409] Performance of Hybrid Ensemble Classification Techniques for Prevalence of Heart Disease Prediction
International Journal of Innovative Technology and Exploring Engineering, 2019
[410] An Intelligent Medical Diagnosis System with Tree-Seed Algorithm Trained Support Vector Machines
2nd International Conference on Data Science and Applications, 2019
[411] Application of Machine Learning to Predict Diseases Based on Symptoms in Rural India
2019
[412] Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints
2019
[413] Detection of chronic kidney disease using machine learning algorithms with least number of predictors
2019
[414] Adaptive Semi-Supervised Classification by Joint Global and Local Graph
2019
[415] Machine Learning for Health informatics in the field of Diabetics
2019
[416] Artificial intelligence in cardiovascular imaging: JACC state-of-the-art review
2019
[417] Role and Performance of Different Traditional Classification and Nature-Inspired Computing Techniques in Major Research Areas
2019
[418] Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph
2019
[419] Unsupervised Classification Approach to Developing a Medical Diagnosis Based on the Results of Prepared Tests
2019
[420] Aplicación de Tecnologías de la Información y Comunicaciones Avanzadas
10th International Congress on Application of Advanced Information and Communications Technologies, 2019
[421] Protein Sequence in Classifying Dengue Serotypes
2019
[422] An effective clinical decision support system using swarm intelligence
2019
[423] Current Techniques for Diabetes Prediction: Review and Case Study
2019
[424] Reinforcement Learning in Healthcare: A Survey
2019
[425] Parkinson's Disease Classification Using Artificial Neural Networks
2019
[426] Review of the machine learning methods in the classification of phishing attack
2019
[427] Prediction and Diagnosis of Diabetes Mellitus Using a Water Wave Optimization Algorithm
2019
[428] A Comparison of Machine Learning Algorithms and their Applications
IJSSST, 2019
[429] A Review on Machine Learning Techniques for Data-Driven Heart Disease Prediction
2019
[430] Neural Networks For Malware Detection Using Static Analysis
2019
[431] A machine learning evolutionary algorithm-based formula to assess tumor markers and predict lung cancer in cytologically negative pleural effusions
2019
[432] A Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with Analytics
2019
[433] Machine Learning Techniques for Tuberculosis Prediction
2019
[434] Risk stratification of patients for development of cardiac diseases using knowledge transfer
2019
[435] Exploiting the interplay between cross-sectional and longitudinal data in Class III malocclusion patients
2019
[436] A Hybrid Apporach of Classification Techniques for Predicting Diabetes using Feature Selection
2019
[437] DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values
2019
[438] Artificial Intelligence in Cardiovascular Imaging
2019
[439] Enhancing the Performance of Classification Using Super Learning
2019
[440] Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
2019
[441] SynSys: A Synthetic Data Generation System for Healthcare Applications
2019
[442] Ensemble method based predictive model for analyzing disease datasets: a predictive analysis approach
2019
[443] A New Approach to Improve Mobile Network's Security Through Android Malware Detection Utilizing Static Analysis
Electronics Industries Quarterly, 2019
[444] Automated Health Event Detection in Smart Homes
2019
[445] Two-Class Classification: Comparative Experiments for Chronic Kidney Disease
2019
[446] Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study
2019
[447] Performance Evaluation of Supervised Machine Learning Algorithms Using Different Data Set Sizes for Diabetes Prediction
2019
[448] A Web-Based Decision Support System of Patient Time Prediction Using Iterative Dichotomiser 3 Algorithm
2019
[449] Modelling LSUTE: PKE Schemes for Safeguarding Electronic Healthcare Records Over Cloud Communication Environment
2019
[450] Incentivizing & Promoting Sustainable Seed Innovations in India: A Three-Pronged Approach
2019
[451] Performance Analysis of Machine Learning Algorithms and Feature Selection Methods on Hepatitis Disease
2019
[452] Contribution to the comparison of Machine Learning algorithms
2019
[453] Modeling of Heart Data using PSO and A-Priori Algorithm for Disease Prediction
2019
[454] The Hybrid Machine Learning Model Based on Random Forest Optimized by PSO and ACO for Predicting Heart
2019
[455] Deep Analytics based Patterns Evaluation from Nano-Particle Datasets
2019
[456] Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach
2019
[457] Anticipation of Heart Disease Using Machine Learning Algorithms Optimised By Feature Optimisation
Journal of Multi Disciplinary Engineering Technologies, 2019
[458] Improving Diabetes Diagnosis in Smart Health Using Genetic-based Ensemble learning algorithm Approach to IoT Infrastructure
2019
[459] An Interactive and Predictive Pre-diagnostic Model for Healthcare based on Data Provenance
2019
[460] Generative Learning in VLSI Design for Manufacturability: Current Status and Future Directions
J. Microelectron. Manuf., 2019
[461] A robust voting approach for diabetes prediction using traditional machine learning techniques
2019
[462] A Web-Based Skin Disease Diagnosis Using Convolutional Neural Networks
2019
[463] A Comparison of Machine Learning Algorithms and their Applications.
2019
[464] Improving diabetes diagnosis in smart health using genetic-based Ensemble learning algorithm. Approach to IoT Infrastructure
2019
[465] An Artificial Neural Network Model to Diagnosis of Type II
2019
[466] Performance Analysis of Supervised Classifying Algorithms to Predict Diabetes in Children
Journal of Xi'an University of Architecture & Technology, 2019
[467] Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka.
2019
[468] A Web-Based Skin Disease Detection System: Medilab-Plus
2019
[469] Identifying diseases and diagnosis using machine learning
2019
[470] IoT Device to Detect Anemia: A Non-Invasive Approach with Multiple Inputs
2019
[471] The Hybrid Machine Learning Model Based on Random Forest Optimized by PSO and ACO for Predicting Heart Disease
Proceedings of the Third International Conference on …, 2019
[472] Comparative Analysis of Prediction of Liver Disease
2019
[473] Pathological Data Analysis for Fever Diagnosis Using Deep learning
2019
[474] Metaheuristic algorithms to enhance artificial neural network for medical data classification
2018
[475] Data mining for dengue hemorrhagic fever (DHF) prediction with naive Bayes method.
2018
[476] A Metaphoric Investigation on Prediction of Heart Disease using Machine Learning
2018
[477] Analyzing IDS botnets detection
2018
[478] Artificial intelligence and echocardiography
2018
[479] Classification of Dengue Serotypes Using Protein Sequence Based on Rule Extraction from Neural Network
2018
[480] K-Nearest Neighbour Model Optimized by Particle Swarm Optimization and Ant Colony Optimization for Heart Disease Classification
2018
[481] Hypotheses engine (HypE): exploring structured biomedical datasets in search for predictive patterns
2018
[482] 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
[483] Novel Wrapper-Based Feature Selection for Efficient Clinical Decision Support System
2018
[484] An improved self-labeled algorithm for cancer prediction
2018
[485] 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
[486] Regression analysis for LED color detection of visual-MIMO system
Optics Communications, 2018
[487] Artificial intelligence: a new clinical support tool for stress echocardiography
Expert Review of Medical Devices, 2018
[488] Machine Learning for Drugs Prescription
Intelligent Data Engineering and Automated Learning – IDEAL 2018, 2018
[489] Prediction of Cardiovascular Disease Using Machine Learning Algorithms
2018
[490] Machine learning to detect signatures of disease in liquid biopsies–a user's guide
Lab on a Chip, 2018
[491] Review on plantar data analysis for disease diagnosis
Biocybernetics and Biomedical Engineering, 2018
[492] Machine learning in heart failure: ready for prime time
Current Opinion in Cardiology, 2018
[493] Prediction of Diabetes using Classification Algorithms
Procedia Computer Science, 2018
[494] Identification and isolation of antimicrobial compounds from the flower extract of Hibiscus rosa-sinensis L: In silico and in vitro approaches
Microbial Pathogenesis, 2018
[495] Machine learning algorithms: a background artifact
2018
[496] Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model
Knowledge Science, Engineering and Management, 2018
[497] Prediction of Liver Diseases Based on Machine Learning Technique for Big Data
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018), 2018
[498] TUTORIAL REVIEW
Lab on a Chip, 2018
[499] Computer-Assisted Frameworks for Classification of Liver, Breast and Blood Neoplasias via Neural Networks: a Survey based on Medical Images
Neurocomputing, 2018
[500] A mobile application based decision support system using oxygen saturation and pulse rate
2018
[501] Data mining for dengue hemorrhagic fever (DHF) prediction with naive Bayes method
Journal of Physics: Conference Series, 2018
[502] Predict the Risk of Cardiovascular Diseases in the Future Using Deep Learning
ProQuest Dissertations Publishing, 2018
[503] Early Diabetes Prediction Using Voting Based Ensemble Learning
Advances in Computing and Data Sciences, 2018
[504] Machine Learning in Predicting Hemoglobin Variants
2018
[505] An Intelligent Lightweight Market Basket Associative Rule Mining for Smartphone Cloud-Based Application To Ease Banking Transaction
Advances in Multidisciplinary & Scientific Research, 2018
[506] APPLICATION OF MACHINE LEARNING IN INTELLIGENT KNOWLEDGE SEARCH ALGORITHM
2018
[507] Predizendo epidemias de dengue, no Distrito Federal, utilizando algoritmos de regressão
2018
[508] Determining Cervical Cancer Possibility by Using Machine Learning Methods
2017
[509] Analysis of Data Mining Tools for Disease Prediction
Journal of Pharmaceutical Sciences and Research,