Medicine and Health Sciences Commons^™

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, …

The Impact Of Delayed Treatment Of Uncomplicated P. Falciparum Malaria On Progression To Severe Malaria: A Systematic Review And A Pooled Multicentre Individual-Patient Meta-Analysis, Andria Mousa, Abdullah Al-Taiar, Nicholas M. Anstey, Cyril Badaut, Bridget E. Barber, Quique Bassat, Joseph D. Challenger, Aubrey J. Cunnington, Dibyadyuti Datta, Chris Drakeley, Azra C. Ghani, Victor R. Gordeuk, Matthew J. Grigg, Pierre Hugo, Chandy C. John, Alfredo Mayor, Florence Migot-Nabias, Robert O. Opoka, Geoffrey Pasvoi, Claire Rees, Hugh Reyburn, Eleanor M. Riley, Binal N. Shah, Antonio Sitoe, Colin J. Sutherland, Philip E. Thuma, Stefan A. Unger, Firmine Viwami, Michael Walther, Christopher J.M. Whitty, Timothy William, Lucy C. Okell

Community & Environmental Health Faculty Publications

BACKGROUND: Delay in receiving treatment for uncomplicated malaria (UM) is often reported to increase the risk of developing severe malaria (SM), but access to treatment remains low in most high-burden areas. Understanding the contribution of treatment delay on progression to severe disease is critical to determine how quickly patients need to receive treatment and to quantify the impact of widely implemented treatment interventions, such as 'test-and-treat' policies administered by community health workers (CHWs). We conducted a pooled individual-participant meta-analysis to estimate the association between treatment delay and presenting with SM.

METHODS AND FINDINGS: A search using Ovid MEDLINE and Embase …

The Role Of Neighborhood Characteristics In Late Stage Melanoma Diagnosis Among Hispanic Men In California, Texas, And Florida, 1996-2012, Valerie M. Harvey, Clinton W. Enos, Jarvis T. Chen, Hadiza Galadima, Karl Eschbach

Community & Environmental Health Faculty Publications

Background. Hispanics diagnosed with cutaneous melanoma are more likely to present at advanced stages but the reasons for this are unknown. We identify census tracts at high risk for late stage melanoma diagnosis (LSMD) and examine the contextual predictors of LSMD in California, Texas, and Florida. Methods. We conducted a cross-sectional study using geocoded state cancer registry data. Using hierarchical multilevel logistic regression models we estimated ORs and 95% confidence intervals for the impact of socioeconomic, Hispanic ethnic concentration, index of dissimilarity, and health resource availability measures on LSMD. Results. We identified 12,493 cases. In California, late …