Beyond prediction: Off‐target uses of artificial intelligence‐based predictive analytics in a learning health system-Reference-Cited by-同舟云学术

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Beyond prediction: Off‐target uses of artificial intelligence‐based predictive analytics in a learning health system

Published:2022-06-23 Issue:1 Volume:7 Page:
ISSN:2379-6146
Container-title:Learning Health Systems
language:en
Short-container-title:Learning Health Systems

Author:

Keim‐Malpass Jessica¹²^ORCID,Moorman Liza P.³,Monfredi Oliver J.²⁴,Clark Matthew T.³,Bourque Jamieson M.²⁴

Affiliation:

1. School of Nursing University of Virginia Charlottesville Virginia USA

2. Center for Advanced Medical Analytics University of Virginia Charlottesville Virginia USA

3. Nihon Kohden Digital Health Solutions Irvine California USA

4. Division of Cardiovascular Medicine, School of Medicine University of Virginia Charlottesville Virginia USA

Funder

Gordon and Betty Moore Foundation

Publisher

Wiley

Subject

Health Information Management,Public Health, Environmental and Occupational Health,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lrh2.10323

Reference37 articles.

1. Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU

2. Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation

3. A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients

4. Clinician Perception of a Machine Learning–Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*

5. Artificial Intelligence in Cardiology

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prospective validation of clinical deterioration predictive models prior to intensive care unit transfer among patients admitted to acute care cardiology wards;Physiological Measurement;2024-06-01

2. Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions;Implementation Science;2024-02-21

3. Prospective validation of clinical deterioration predictive models prior to intensive care unit transfer among patients admitted to acute care cardiology wards;2023-12-19

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