Discussion: Scholarly discussion on any scientific article is very important for the advancement of science. We strongly suggest all readers and authors to participate in such activities. Comment posting facility is available at the end of this page. Comment should meet the minimum standard of scientific discussion. Personal communication, personal attack, abusive language, etc are not allowed and comments will be moderated.
Article Title
Anomaly Detection Feature Engineering for Enhanced Prediction of HIV Viral Load Suppression Using DHIS2 Data
Authored by
Jonathan Ndolo Mbithi
Department of Mathematics and Statistics, University of Embu, Embu, Kenya.
Maurice Wanyonyi
Department of Mathematics and Statistics, University of Embu, Embu, Kenya.
Rodgers Mavyala
Department of Computer Science, Presbyterian University of East Africa, Kikuyu, Kenya.
Collins Odhiambo
Institute of Mathematical Sciences, Strathmore University, Nairobi, Kenya.