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Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando
Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando
Community & Environmental Health Faculty Publications
Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …
Experiences Of Kenyan Healthcare Workers Providing Services To Men Who Have Sex With Men: Qualitative Findings From A Sensitivity Training Programme, Elise M. Van Der Elst, Evans Gichuru, Anisa Omar, Jennifer Kanungi, Zoe Duby, Miriam Midoun, Sylvia Shangani, Susan M. Graham, Adrian D. Smith, Eduard J. Sanders, Don Operario
Experiences Of Kenyan Healthcare Workers Providing Services To Men Who Have Sex With Men: Qualitative Findings From A Sensitivity Training Programme, Elise M. Van Der Elst, Evans Gichuru, Anisa Omar, Jennifer Kanungi, Zoe Duby, Miriam Midoun, Sylvia Shangani, Susan M. Graham, Adrian D. Smith, Eduard J. Sanders, Don Operario
Community & Environmental Health Faculty Publications
Introduction
Men who have sex with men (MSM) in Kenya are at high risk for HIV and may experience prejudiced treatment in health settings due to stigma. An on-line computer-facilitated MSM sensitivity programme was conducted to educate healthcare workers (HCWs) about the health issues and needs of MSM patients.
Methods
Seventy-four HCWs from 49 ART-providing health facilities in the Kenyan Coast were recruited through purposive sampling to undergo a two-day MSM sensitivity training. We conducted eight focus group discussions (FGDs) with programme participants prior to and three months after completing the training programme. Discussions aimed to characterize HCWs’ challenges in …