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This study aims to develop a reliable, home\u2010based point\u2010of\u2010care testing (POCT) tool for early screening of acquired immunodeficiency syndrome (AIDS) coinfected with <jats:italic>Talaromyces marneffei<\/jats:italic> infection. Employing a \u201cFrom weak to strong\u201d deduction strategy for feature selection, data from 464 AIDS patients across four cohorts between February 5th, 2014, and January 8th, 2022, are analyzed. The top three features consistently observed are D\u2010dimer, cluster of differentiation 4+, and aspartate transaminase. Based on these features, the simplest risk\u2010scoring model is constructed, with the area under the receiver operating characteristic curve values of 0.91, 0.80, and 0.69 in the hold\u2010out cohort, external cohort 1, and external cohort 2, respectively. This \u201cFrom weak to strong\u201d deduction strategy identifies advantageous clinical features, enabling the development of simplified clinical risk scores with multiple biomarkers. To facilitate practical implementation, enhanced POCT tools are introduced, specifically a strip with segmented testing capabilities that demonstrates sensitivity and strong correlation with clinical scoring models. Furthermore, an open\u2010access website and a free Android mobile app are created to support community utilization. The findings underscore the effectiveness of the innovative deduction strategy and enhanced test strips, which enable bedside measurements without laboratory dependency.<\/jats:p>","DOI":"10.1002\/aisy.202300224","type":"journal-article","created":{"date-parts":[[2023,8,25]],"date-time":"2023-08-25T15:24:25Z","timestamp":1692977065000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Revolutionizing Infection Risk Scoring: An Ensemble \u201cFrom Weak to Strong\u201d Deduction Strategy and Enhanced Point\u2010of\u2010Care Testing Tools"],"prefix":"10.1002","volume":"5","author":[{"given":"Haoman","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Infectious Diseases Wenzhou Central Hospital  Wenzhou Zhejiang 325000 China"},{"name":"Wenzhou Institute and Wenzhou Key Laboratory of Biophysics Wenzhou Institute University of Chinese Academy of Sciences  Wenzhou Zhejiang 325001 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