Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare

Nephi Walton; Gary D. Miner; Mitchell Goldstein

doi:10.1016/B978-0-323-95274-3.00001-4

Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare

Nephi Walton, Gary D. Miner, Mitchell Goldstein

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Practical Data Analytics for Innovation in Medicine
Subtitle of host publication	Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition
Publisher	Elsevier
Pages	395-399
Number of pages	5
ISBN (Electronic)	9780323952743
ISBN (Print)	9780323952750
DOIs	https://doi.org/10.1016/B978-0-323-95274-3.00001-4
State	Published - Jan 1 2023
Externally published	Yes

ASJC Scopus Subject Areas

General Computer Science

Keywords

DNA sequencing
EHR
biological specimens
good data
infrastructure
legal liabilities
mental health
metabolomics, epigenetics, and transcriptomics
omics
regulation of predictive models

Access to Document

10.1016/B978-0-323-95274-3.00001-4

OpenUrl availability

Full text

Cite this

Walton, N., Miner, G. D., & Goldstein, M. (2023). Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare. In Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition (pp. 395-399). Elsevier. https://doi.org/10.1016/B978-0-323-95274-3.00001-4

Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare. / Walton, Nephi; Miner, Gary D.; Goldstein, Mitchell.
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition. Elsevier, 2023. p. 395-399.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Walton, N, Miner, GD & Goldstein, M 2023, Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare. in Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition. Elsevier, pp. 395-399. https://doi.org/10.1016/B978-0-323-95274-3.00001-4

Walton N, Miner GD, Goldstein M. Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare. In Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition. Elsevier. 2023. p. 395-399 doi: 10.1016/B978-0-323-95274-3.00001-4

Walton, Nephi ; Miner, Gary D. ; Goldstein, Mitchell. / Challenges for healthcare administration and delivery : integrating predictive and prescriptive modeling into personalized–precision healthcare. Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition. Elsevier, 2023. pp. 395-399

@inbook{eeb1f79ac5b64acc882dc32c234d917f,

title = "Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare",

keywords = "DNA sequencing, EHR, biological specimens, good data, infrastructure, legal liabilities, mental health, metabolomics, epigenetics, and transcriptomics, omics, regulation of predictive models",

author = "Nephi Walton and Miner, {Gary D.} and Mitchell Goldstein",

year = "2023",

month = jan,

day = "1",

doi = "10.1016/B978-0-323-95274-3.00001-4",

language = "English",

isbn = "9780323952750",

pages = "395--399",

booktitle = "Practical Data Analytics for Innovation in Medicine",

publisher = "Elsevier",

}

TY - CHAP

T1 - Challenges for healthcare administration and delivery

T2 - integrating predictive and prescriptive modeling into personalized–precision healthcare

AU - Walton, Nephi

AU - Miner, Gary D.

AU - Goldstein, Mitchell

PY - 2023/1/1

Y1 - 2023/1/1

KW - DNA sequencing

KW - EHR

KW - biological specimens

KW - good data

KW - infrastructure

KW - legal liabilities

KW - mental health

KW - metabolomics, epigenetics, and transcriptomics

KW - omics

KW - regulation of predictive models

UR - http://www.scopus.com/inward/record.url?scp=85152820446&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85152820446&partnerID=8YFLogxK

U2 - 10.1016/B978-0-323-95274-3.00001-4

DO - 10.1016/B978-0-323-95274-3.00001-4

M3 - Chapter

AN - SCOPUS:85152820446

SN - 9780323952750

SP - 395

EP - 399

BT - Practical Data Analytics for Innovation in Medicine

PB - Elsevier

ER -

Challenges for healthcare administration and delivery: integrating predictive and prescriptive modeling into personalized–precision healthcare

ASJC Scopus Subject Areas

Keywords

Access to Document

OpenUrl availability

Other files and links

Cite this