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

Foundations of AI (47) Applications of AI (104)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46840, first published .
Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Predictive Performance of Machine Learning–Based Models for Poststroke Clinical Outcomes in Comparison With Conventional Prognostic Scores: Multicenter, Hospital-Based Observational Study

Authors of this article:

Fumi Irie1, 2 Author Orcid Image ;   Koutarou Matsumoto3 Author Orcid Image ;   Ryu Matsuo1, 2 Author Orcid Image ;   Yasunobu Nohara4 Author Orcid Image ;   Yoshinobu Wakisaka2 Author Orcid Image ;   Tetsuro Ago2, 5 Author Orcid Image ;   Naoki Nakashima6 Author Orcid Image ;   Takanari Kitazono2, 5 Author Orcid Image ;   Masahiro Kamouchi1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.