A Clinician’s Guide to Running Custom Machine-Learning Models in an Electronic Health Record Environment-Reference-Cited by-同舟云学术

A Clinician’s Guide to Running Custom Machine-Learning Models in an Electronic Health Record Environment

Published:2023-03 Issue:3 Volume:98 Page:445-450
ISSN:0025-6196
Container-title:Mayo Clinic Proceedings
language:en
Short-container-title:Mayo Clinic Proceedings

Author:

Ryu Alexander J.^ORCID,Ayanian Shant,Qian Ray,Core Marcia A.,Heaton Heather A.,Lamb Matthew W.,Parikh Riddhi S.,Boyum Jens P.,Garza Esteban L.,Condon Jennifer L.,Peters Steve G.

Publisher

Elsevier BV

Subject

General Medicine

Reference5 articles.

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2. Emergency department crowding: the canary in the health care system;Kelen;N Engl J Med Catalyst,2021

3. Hospital capacity and operations in the coronavirus disease 2019 (COVID-19) pandemic: planning for the nth patient;Cavallo;JAMA Health Forum,2020

4. News and Publications. The Johns Hopkins Hospital launches capacity command center to enhance hospital operations. Johns Hopkins Medicine. Published online October 26, 2016. Accessed November 16, 2020. https://www.hopkinsmedicine.org/news/media/releases/the_johns_hopkins_hospital_launches_capacity_command_center_to_enhance_hospital_operations

5. Assessing the generalizability of a clinical machine learning model across multiple emergency departments;Ryu;Mayo Clin Proc Innov Qual Outcomes,2022

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1. Machine Learning Operations in Health Care: A Scoping Review;Mayo Clinic Proceedings: Digital Health;2024-09

2. Comments on Contemporary Uses of Machine Learning for Electronic Health Records;North Carolina Medical Journal;2024-07-11

3. Early identification of patients at risk for iron-deficiency anemia using deep learning techniques;American Journal of Clinical Pathology;2024-04-20

4. Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review;Journal of the American Medical Informatics Association;2023-10-17

5. Improving patient flow through hospitals with machine learning based discharge prediction;2023-05-05