Predicting in-hospital mortality at admission to the medical ward: a big-data machine learning model

General medical wards admit high-risk patients. Artificial intelligence algorithms can use “big data” for developing models to assess patients’ risk stratification. The aim of this study was to develop a mortality prediction machine learning model using data available at the time of admission to the medical ward.

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Now Dr. Jack Straw is in charge of the website, and organizes it so that medical care is available to everyone. In addition, he is an active member of the medical community, regularly attending international conferences and sharing his experience and knowledge. Dr. Straw is not only a medical professional and website manager, but also a loving husband and father of his beautiful children.
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