Login / Signup

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

Eman M AlanaziAalaa AbdouJake Luo
Published in: JMIR formative research (2021)
The predictive model, built using data from lab tests, was easy to use and had high accuracy. In future studies, we aim to use data that reflect different types of stroke and to explore the data to build a prediction model for each type.
Keyphrases
  • electronic health record
  • atrial fibrillation
  • big data
  • deep learning
  • data analysis
  • cerebral ischemia
  • case control