eDoctor: machine learning and the future of medicine-Reference-Cited by-同舟云学术

eDoctor: machine learning and the future of medicine

Author:

Handelman G. S.¹^ORCID,Kok H. K.²,Chandra R. V.³⁴,Razavi A. H.⁵⁶,Lee M. J.⁷,Asadi H.³⁸⁹

Affiliation:

1. Royal Victoria Hospital; Belfast UK

2. Interventional Radiology Service; Northern Hospital Radiology; Epping Vic Australia

3. Interventional Neuroradiology Service; Monash Imaging; Monash Health; Clayton Vic Australia

4. Faculty of Medicine, Nursing and Health Sciences; Monash University; Clayton Vic Australia

5. School of Information Technology and Engineering; University of Ottawa; Ottawa ON Canada

6. BCE Corporate Security; Ottawa ON Canada

7. Department of Radiology; Beaumont Hospital and Royal College of Surgeons in Ireland; Dublin Ireland

8. Department of Radiology; Interventional Neuroradiology Service; Austin Health; Heidelberg Vic Australia

9. School of Medicine; Faculty of Health; Deakin University; Waurn Ponds Vic Australia

Publisher

Wiley

Subject

Internal Medicine

Link

Reference98 articles.

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2. Machine learning for treatment assignment: improving individualized risk attribution;Weiss;AMIA Annu Symp Proc,2015

4. Doctor AI: predicting clinical events via recurrent neural networks;Choi;JMLR Workshop Conf Proc,2016

5. Munoz A Machine Learning and Optimization https://www.cims.nyu.edu/~munoz/files/ml_optimization 2014

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