This paper is in the following e-collection/theme issue:

Pharmacology and Pharmaceutics (49) Machine Learning (1373) Clinical Information and Decision Making (1315) Clinical Informatics (904)

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

Authors of this article:

Ahmad Abdel-Hafez1, 2 Author Orcid Image ;   Ian A Scott3, 4 Author Orcid Image ;   Nazanin Falconer5, 6 Author Orcid Image ;   Stephen Canaris1 Author Orcid Image ;   Oscar Bonilla1 Author Orcid Image ;   Sven Marxen7 Author Orcid Image ;   Aaron Van Garderen1, 7 Author Orcid Image ;   Michael Barras5, 8 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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

1 Clinical Informatics, Metro South Health, Queensland Health, Brisbane, Australia

2 School of Public Health & Social Work, Queensland University of Technology, Brisbane, Australia

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

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

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

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

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

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

*these authors contributed equally

Corresponding Author: