This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1664) Machine Learning (1747) Secondary Use of Clinical Data for Research and Surveillance (417) Colon and Rectal Cancer (36) Artificial Intelligence (1752) Decision Support for Health Professionals (1345)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44417, first published .
Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study

Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study

Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study

Authors of this article:

Xulin Yang1 Author Orcid Image ;   Hang Qiu1, 2 Author Orcid Image ;   Liya Wang2 Author Orcid Image ;   Xiaodong Wang3 Author Orcid Image
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New in JMIR: Predicting Colorectal #Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort #Study https://t.co/1o3lzzB1Dq https://t.co/iY0oo1OiLL

3:12 PM · Oct 26, 2023

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RT @jmirpub: New in JMIR: Predicting Colorectal #Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort #Study https://…

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Tom Bellis Tom Bellis @tommybellis

Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study https://t.co/SZgI8uHIud https://t.co/RNtvzaXt23

3:27 PM · Oct 26, 2023

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