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

Machine Learning (1627) Decision Support for Health Professionals (1288) Clinical Information and Decision Making (1548)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32508, first published .
Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study

Authors of this article:

Po-Yuan Su1 Author Orcid Image ;   Yi-Chia Wei2, 3, 4 Author Orcid Image ;   Hao Luo1 Author Orcid Image ;   Chi-Hung Liu5, 6 Author Orcid Image ;   Wen-Yi Huang2, 6 Author Orcid Image ;   Kuan-Fu Chen7, 8 Author Orcid Image ;   Ching-Po Lin3 Author Orcid Image ;   Hung-Yu Wei1 Author Orcid Image ;   Tsong-Hai Lee5, 6 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
JMIR Publications JMIR Publications @jmirpub

New JMIR MedInform: Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic… https://t.co/a5FHpIfGFB

2:36 PM · Mar 25, 2022

0
1
JMIR Medical Informatics JMIR Medical Informatics @JMIR_MedInform

RT @jmirpub: New JMIR MedInform: Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Reg…

2:37 PM · Mar 25, 2022

0
1