Dec 30, 2022 · This study aims to use machine learning and graph theory to predict the comorbidity of chronic diseases.
Dec 30, 2022 · This study aims to use machine learning and graph theory to predict the comorbidity of chronic diseases.
Oct 22, 2024 · This study aims to use machine learning and graph theory to predict the comorbidity of chronic diseases. Methods A patient-disease bipartite ...
This study aims to use machine learning and graph theory to predict the comorbidity of chronic diseases.
Embedding-based link predictions to explore latent comorbidity of ... - OUCI
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Embedding-based link predictions to explore latent comorbidity of chronic diseases. https://doi.org/10.1007/s13755-022-00206-7. Journal: Health Information ...
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Embedding-based link predictions to explore latent comorbidity of chronic diseases. Article. Full-text available. Dec 2022. Haohui Lu ...
This systematic review is the first to examine the use of ML and explainable artificial intelligence (XAI) methods for comorbidity prediction.
Nov 15, 2024 · Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Inf. Sci. Syst. 11(1): 2 (2023). [j6]. view.
Nov 12, 2024 · Large Language Models (LLMs) have made significant strides in various tasks, yet their ef- fectiveness in predicting disease progression.
Purpose: Comorbidity is a term used to describe when a patient simultaneously has more than one chronic disease. Comorbidity is a significant health i...... 小 ...