A systematic review of machine learning models for predicting outcomes of stroke with structured data.
Wenjuan WangMartin KiikNiels PeekVasa CurcinIain J MarshallAnthony G RuddYanzhong WangAbdel DouiriCharles D WolfeBenjamin BrayPublished in: PloS one (2020)
The use of ML for predicting stroke outcomes is increasing. However, few met basic reporting standards for clinical prediction tools and none made their models available in a way which could be used or evaluated. Major improvements in ML study conduct and reporting are needed before it can meaningfully be considered for practice.