Article

A Supervised Machine Learning Model to Predict Therapy Response and Mortality at 90 days After Acute Myeloid Leukemia Diagnosis

2023-06-29

Abstract excerpt

<h4>Background and Objective</h4> The main objective in this paper is to validate a machine-learning model trained to predict the 90-day risk of complications for patients with Acute Myeloid Leukemia using variables available at diagnosis. This is a first fundamental step towards the development of a tool that could help physicians in their therapeutic decisions. <h4>Methods</h4> 266 patients and 36 variables form...

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Literature Corpus work: cb1318a7-895b-5a22-9e02-d9a57567ae64
DOI: 10.1101/2023.06.26.23291731

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