Big Data, Decision Models, and Public Health

Overview

Journal Int J Environ Res Public Health

Publisher MDPI

Specialties Environmental Health
Public Health

Date 2020 Sep 18

PMID 32942728

Citations 4

Authors

Chien-Lung Chan

Chi-Chang Chang

Affiliations

Soon will be listed here.

Abstract

Unlike most daily decisions, medical decision making often has substantial consequences and trade-offs. Recently, big data analytics techniques such as statistical analysis, data mining, machine learning and deep learning can be applied to construct innovative decision models. With complex decision making, it can be difficult to comprehend and compare the benefits and risks of all available options to make a decision. For these reasons, this Special Issue focuses on the use of big data analytics and forms of public health decision making based on the decision model, spanning from theory to practice. A total of 64 submissions were carefully blind peer reviewed by at least two referees and, finally, 23 papers were selected for this Special Issue.

Citing Articles

Real World-Big Data Analytics in Healthcare.

Piovani D, Bonovas S Int J Environ Res Public Health. 2022; 19(18).

PMID: 36141962 PMC: 9517048. DOI: 10.3390/ijerph191811677.

Big Data, Decision Models, and Public Health.

Chan C, Chang C Int J Environ Res Public Health. 2022; 19(14).

PMID: 35886394 PMC: 9324609. DOI: 10.3390/ijerph19148543.

Integrating a New Dietetic Care Process in a Health Information System: A System and Process Analysis and Assessment.

Gabler G, Lycett D, Gall W Int J Environ Res Public Health. 2022; 19(5).

PMID: 35270184 PMC: 8909013. DOI: 10.3390/ijerph19052491.

Associations between Sex and Risk Factors for Predicting Chronic Kidney Disease.

Kao H, Chang C, Chang C, Chen Y, Cheewakriangkrai C, Tu Y Int J Environ Res Public Health. 2022; 19(3).

PMID: 35162242 PMC: 8835286. DOI: 10.3390/ijerph19031219.

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