Evaluation of supervised machine learning algorithms in predicting the poor anticoagulation control and stable weekly doses of warfarin.

Kannan SridharanMurali RamanathanRashed Al Banna

Published in: International journal of clinical pharmacy (2022)

Genetic and non-genetic predictive factors were identified by the MLAs for ACS and SWWD. Further, the need to externally validate the MLAs in a prospective study was highlighted.

Keyphrases

machine learning
atrial fibrillation
venous thromboembolism
artificial intelligence
genome wide
big data
acute coronary syndrome
deep learning
copy number
direct oral anticoagulants
gene expression