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

Machine Learning (1501) Clinical Informatics (1050)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16312, first published .
A Multiview Model for Detecting the Inappropriate Use of Prescription Medication: Machine Learning Approach

A Multiview Model for Detecting the Inappropriate Use of Prescription Medication: Machine Learning Approach

A Multiview Model for Detecting the Inappropriate Use of Prescription Medication: Machine Learning Approach

Authors of this article:

Lin Zhuo1, 2 Author Orcid Image ;   Yinchu Cheng3 Author Orcid Image ;   Shaoqin Liu4 Author Orcid Image ;   Yu Yang5 Author Orcid Image ;   Shuang Tang4 Author Orcid Image ;   Jiancun Zhen6 Author Orcid Image ;   Junfeng Zhao4 Author Orcid Image ;   Siyan Zhan1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Li Q, Wright J, Hales R, Voong R, McNutt T. A digital physician peer to automatically detect erroneous prescriptions in radiotherapy. npj Digital Medicine 2022;5(1) View
  2. Ranchon F, Chanoine S, Lambert-Lacroix S, Bosson J, Moreau-Gaudry A, Bedouch P. Development of artificial intelligence powered apps and tools for clinical pharmacy services: A systematic review. International Journal of Medical Informatics 2023;172:104983 View

Books/Policy Documents

  1. Sessa M, Shakibfar S, Andersen M, Zhao J. Drug Utilization Research. View