Published on in Vol 11, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34533, first published .
Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

Ahmad Abdel-Hafez 1, 2, PhD;  Ian A Scott 3, 4*, MBBS, MHA, MEd;  Nazanin Falconer 5, 6*, PhD;  Stephen Canaris 2*, BSc;  Oscar Bonilla 2*, BSc;  Sven Marxen 7*, BPharm (Hons), Grad Dip Clin Pharm;  Aaron Van Garderen 2, 7*, BPharm (Hons), GCClinPharm, GCProfComp;  Michael Barras 5, 8*, BPharm, Grad Dip Clin Pharm, PhD

1 School of Public Health & Social Work, Queensland University of Technology , Brisbane , AU

2 Clinical Informatics, Metro South Health, Queensland Health , Brisbane , AU

3 Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital , Brisbane , AU

4 Greater Brisbane School of Clinical Medicine, University of Queensland , Brisbane , AU

5 Department of Pharmacy, Princess Alexandra Hospital , Brisbane , AU

6 Centre for Health Services Research, Faculty of Medicine, The University of Queensland , Brisbane , AU

7 Pharmacy Service, Logan and Beaudesert Hospitals , Logan , AU

8 School of Pharmacy, University of Queensland , Brisbane , AU

*these authors contributed equally

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