11 Aug 2026
Application of Unsupervised Machine Learning Models for Detecting Anomalous Healthcare Insurance ClaimsPublisher siteLecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
UniversitiesJohn Batani
Active, last published 2026
In mobile health and mhealth applications
John
Batani
Scholar“Research focused on Mobile Health and mHealth Applications and adjacent fields.”
National University of Lesotho
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01 · About the work
What I study
ohn Batani is a researcher working on Mobile Health and mHealth Applications. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
John's work has been cited 1,140 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Mobile Health and mHealth Applications×9COVID-19 diagnosis using AI×8COVID-19 Digital Contact Tracing×7Child Nutrition and Water Access×4Telemedicine and Telehealth Implementation×4
04 · Where I am
Affiliations
Affiliation on published researchNational University of LesothoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
10 works3 Jun 2026Open access
Factors Associated with STI Screening Uptake Among Adolescent Girls and Young Women in NamibiaPublisher siteVenereology, Adolescent Sexual and Reproductive Health
1 Mar 2026Open access
Towards incorporating data-driven artificial intelligence-based tools in tuberculosis diagnosis in resource-constrained countries: A scoping reviewPublisher siteInformatics and Health, Tuberculosis Research and Epidemiology
28 Nov 2024Open access3cites
Harnessing emerging technologies for sustainable child health: Rethinking strategies for advancing SDG 3.2 in resource-constrained environmentsPublisher siteWomen and Children Nursing, Biomedical and Engineering Education
28 Oct 2024Open access3cites
Prevalence and Risk Factors of HIV Drug Resistance in Zimbabwe: Evidence from Zimbabwe Population-Based HIV Impact Assessment (ZIMPHIA) 2020 SurveyPublisher siteTropical Medicine and Infectious Disease, HIV/AIDS Research and Interventions
3 Jul 2024Open access2cites
Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning modelsPublisher sitePLOS Digital Health, HIV, Drug Use, Sexual Risk
7 Mar 202412cites
A Deep Learning-Based Chatbot to Enhance Maternal Health EducationPublisher site7 Mar 20242cites
Machine Learning Models for Identifying Factors Influencing and Predicting Malaria Among Children Under Five Years in NigeriaPublisher siteExpert Academic Profiles go further
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