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Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework
[article]
2020
arXiv
pre-print
Warfarin is an effective preventative treatment for arterial and venous thromboembolism, but requires individualised dosing due to its narrow therapeutic range and high individual variation. Many machine learning techniques have been demonstrated in this domain. This study evaluated the accuracy of the most promising algorithms on the International Warfarin Pharmacogenetics Consortium dataset and a novel clinical dataset of South African patients. Support vectors and linear regression were
arXiv:1907.05363v4
fatcat:mhbodip3trdydlm5mbpfffoahu