Intelligent Information Management

Intelligent Information Management

ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.org/journal/iim
E-mail: iim@scirp.org
"Comparing Data Mining Techniques in HIV Testing Prediction"
written by Tesfay Gidey Hailu,
published by Intelligent Information Management, Vol.7 No.3, 2015
has been cited by the following article(s):
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[1] HIV/AIDS predictive model using random forest based on socio-demographical, biological and behavioral data
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[2] Performance Evaluation of Classification Models for HIV/AIDS Dataset
Data Management, Analytics and Innovation, 2021
[3] Analysis of inflammation, metabolic and clinical markers in predicting fat mass in HIV-positive males using artificial neural network/Nurul Farhah Shamsuddin
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[4] Application of Machine Learning in Assignment of Child Delivery Service in Afghanistan
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[5] Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa
BMC medical …, 2021
[6] DATA MINING BASED CRITICAL ANALYSIS AND CLASSIFICATION OF INFECTIOUS DISEASE FOR EFFECTIVE DIAGNOSIS AND TREATMENT
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[7] Analisa Perbandingan Nilai Bahasa Inggris 1 dan 3 dengan Nilai Reading dan Listening TOEIC Universitas Multimedia Nusantara
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[8] Predictive Models of HIV/AIDS Epidemic Status using Data Mining Techniques: A Review
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[9] A Model for Predicting Non-adherence Among Preexposure Prophylaxis (Prep) Clients At Suba Region.
2018
[10] Application of Data Mining Technology on Surveillance Report Data of HIV/AIDS High-Risk Group in Urumqi from 2009 to 2015
2018
[11] Data Mining Usage and Applications in Health Services
2018
[12] A model for predicting non-adherence among per-exposure prophylaxis (prep) clients at Suba region.
2018
[13] A novel data-mining model for automated prediction of low birth weight
2017
[14] A Tool For Predicting Loss-to-follow-up Among People Living With Hiv At Busia Border
2017
[15] A Hybrid Based Classification and Regression Model for Predicting Diseases Outbreak in Datasets
2017
[16] A Survey and Analysis on Classification and Regression Data Mining Techniques for Diseases Outbreak Prediction in Datasets
2016
[17] BIG DATA IN HEALTH CARE REVOLUTION–A SURVEY
International Research Journal of Engineering and Technology, 2016
[18] Big Data in Health Care Revolution–A Survey‖
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[19] Disease Monitoring System Using CRISP Data Mining: the Case Study for Caloocan City
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