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Application of machine learning methods to predict progression in patients with hormone-sensitive prostate cancer

2023-09-06

Abstract excerpt

<h4>Objective: </h4> Precise and appropriate diagnosis for prostate cancer patients can improve their quality of life. We sought to develop an innovative machine learning prognostic model to forecast the progression of hormone-sensitive prostate cancer (mHSPC). Methods A retrospective cohort study was conducted at Yunnan Cancer Hospital, including 533 patients diagnosed with hormone-sensitive prostate cancer betw...

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Literature Corpus work
dfdedbf4-4ded-5ed0-87d0-bd2edb126aa3
DOI
10.21203/rs.3.rs-3309939/v1
Open publication

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Application of machine learning methods to predict progression in patients with hormone-sensitive prostate cancerDOI 10.21203/rs.3.rs-3309939/v1
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