Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations

Mitchell Goldstein; Gary D. Miner

doi:10.1016/B978-0-323-95274-3.00013-0

Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations

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	443-456
Number of pages	14
ISBN (Electronic)	9780323952743
ISBN (Print)	9780323952750
DOIs	https://doi.org/10.1016/B978-0-323-95274-3.00013-0
State	Published - Jan 1 2023
Externally published	Yes

ASJC Scopus Subject Areas

General Computer Science

Keywords

IOP readings
Personalized medicine
electronic health record
intraocular pressure
pulse oximetry data measurements
sampling and data analysis issues

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10.1016/B978-0-323-95274-3.00013-0

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Goldstein, M., & Miner, G. D. (2023). Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations. 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. 443-456). Elsevier. https://doi.org/10.1016/B978-0-323-95274-3.00013-0

Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations. / Goldstein, Mitchell; Miner, Gary D.
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. 443-456.

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

Goldstein, M & Miner, GD 2023, Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations. 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. 443-456. https://doi.org/10.1016/B978-0-323-95274-3.00013-0

Goldstein M, Miner GD. Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations. 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. 443-456 doi: 10.1016/B978-0-323-95274-3.00013-0

Goldstein, Mitchell ; Miner, Gary D. / Sampling and data analysis : variability in data may be a better predictor than exact data points with many kinds of Medical situations. 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. 443-456

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Sampling and data analysis: variability in data may be a better predictor than exact data points with many kinds of Medical situations

ASJC Scopus Subject Areas

Keywords

Access to Document

OpenUrl availability

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