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

Development and Evaluation of Research Methods, Instruments and Tools (263) Machine Learning (1121) Stroke (123) Clinical Information and Decision Making (1042) Clinical Informatics (653) Tools, Programs and Algorithms (199)

Published on in Vol 5 , No 12 (2021) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23440, first published .
Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Authors of this article:

Eman M Alanazi 1, 2 Author Orcid Image ;   Aalaa Abdou 3 Author Orcid Image ;   Jake Luo 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Kokkotis C, Giarmatzis G, Giannakou E, Moustakidis S, Tsatalas T, Tsiptsios D, Vadikolias K, Aggelousis N. An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data. Diagnostics 2022;12(10):2392 View