Proactive vs Reactive Machine Learning in Health Care: Lessons from the COVID-19 Pandemic

Yuan Luo; Richard G. Wunderink; Donald Lloyd-Jones

doi:10.1001/jama.2021.24935

Proactive vs Reactive Machine Learning in Health Care: Lessons from the COVID-19 Pandemic

Yuan Luo^*, Richard G. Wunderink, Donald Lloyd-Jones

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Original language	English (US)
Pages (from-to)	623-624
Number of pages	2
Journal	JAMA
Volume	327
Issue number	7
DOIs	https://doi.org/10.1001/jama.2021.24935
State	Published - Feb 15 2022

Funding

receiving grants from the National Institutes of Health (U01TR003528 and R01LM013337). No other disclosures were reported.

ASJC Scopus subject areas

General Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1001/jama.2021.24935

Cite this

@article{ce85084c550948c1a6a0236ae26d3d66,

title = "Proactive vs Reactive Machine Learning in Health Care: Lessons from the COVID-19 Pandemic",

author = "Yuan Luo and Wunderink, {Richard G.} and Donald Lloyd-Jones",

note = "Funding Information: receiving grants from the National Institutes of Health (U01TR003528 and R01LM013337). No other disclosures were reported.",

year = "2022",

month = feb,

day = "15",

doi = "10.1001/jama.2021.24935",

language = "English (US)",

volume = "327",

pages = "623--624",

journal = "JAMA",

issn = "0098-7484",

publisher = "American Medical Association",

number = "7",

}

TY - JOUR

T1 - Proactive vs Reactive Machine Learning in Health Care

T2 - Lessons from the COVID-19 Pandemic

AU - Luo, Yuan

AU - Wunderink, Richard G.

AU - Lloyd-Jones, Donald

N1 - Funding Information: receiving grants from the National Institutes of Health (U01TR003528 and R01LM013337). No other disclosures were reported.

PY - 2022/2/15

Y1 - 2022/2/15

UR - http://www.scopus.com/inward/record.url?scp=85124121973&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85124121973&partnerID=8YFLogxK

U2 - 10.1001/jama.2021.24935

DO - 10.1001/jama.2021.24935

M3 - Article

C2 - 35085382

AN - SCOPUS:85124121973

SN - 0098-7484

VL - 327

SP - 623

EP - 624

JO - JAMA

JF - JAMA

IS - 7

ER -

Proactive vs Reactive Machine Learning in Health Care: Lessons from the COVID-19 Pandemic

Funding

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Cite this