Proposed methodology The study’s methodology involves two significant steps and is presented in Fig. 1. The first…
Continue ReadingTag: predicting
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…
Continue Reading
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…
Continue Reading
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).…
Continue Reading
Predicting land suitability for wheat and barley crops using machine learning techniques
Dataset feature description The dataset used for this study is collected from the Engineering Corporation of…
Continue Reading
Crystallography-informed AI achieves high performance in predicting novel crystal structures
Non-iterative Crystal Structure Prediction with ShotgunCSP. Credit: The Institute of Statistical Mathematics A research team from…
Continue Reading