Proposed methodology The study’s methodology involves two significant steps and is presented in Fig. 1. The first…
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Predicting factors associated with anxiety by patients undergoing treatment for infectious diseases using a random-forest machine learning approach
Study Site A cross-sectional survey was conducted from March to April 2022 among COVID-19 patients in…
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Predicting cancer risk using machine learning on lifestyle and genetic data
Dataset presentation The dataset used in this study consists of 1,200 patient records were collected in…
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Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury
Fujishima, S. Organ dysfunction as a new standard for defining sepsis. Inflamm. Regen. 36, 24 (2016).…
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