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

Machine Learning (1971) Clinical Information and Decision Making (1807) Secondary Use of Clinical Data for Research and Surveillance (453) Tools, Programs and Algorithms (358) Decision Support for Health Professionals (1468) Electronic Health Records (1271)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30104, first published .
A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys

A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys

A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys

Authors of this article:

Wui Ip1 Author Orcid Image ;   Priya Prahalad1 Author Orcid Image ;   Jonathan Palma2 Author Orcid Image ;   Jonathan H Chen3, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (10) Metrics

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  3. Essay P, Rajasekharan A. Robust diagnosis recommendation system for Primary Care Telemedicine using long short-term memory multi-class sequence classification. Heliyon 2024;10(6):e26770 View
  4. Fikadu E, Das M, Urgessa T, Ramaswamy K. A supervised learning approach for recommending medical specialists in the healthcare sector for the Afaan Oromo context. Discover Computing 2025;28(1) View