Statistics and machine learning methods for EHR data : from data extraction to data analytics

edited by Hulin Wu, Jose-Miguel Yamal, Ashraf Yaseen, Vahed Maroufy

Introduction: Use of EHR data for scientific discoveries-challenges and opportunities / Hulin Wu -- EHR project management / Yashar Talebi and Ashraf Yaseen -- EHR databases and data management : data query and extraction / Gen Zhu, Vi K. Ly, Michael Gonzalez, Leqing Wu, Hulin Wu, and Ashraf Yaseen -- EHR data cleaning / Yashar Talebi, Han Feng, Yuefan Huang, and Vahed Maroufy -- EHR data pre-processing and preparation / Duo Yu, Xueying Wang, and Hulin Wu -- EHR missing data issues / Chenguang Zhang, Vahed Maroufy, Baojiang Chen, and Hulin Wu -- Causal inference and analysis for EHR data / Stacia DeSantis, Momiao Xiong, Jose-Miguel Yamal, Gen Zhu, Duo Yu, Xueying Wang, Chenguang Zhang, and Vi K. Ly -- EHR data exploration, analysis and predictions : statistical models and methods / Gen Zhu, Frances Brito, Stacia M DeSantis, and Vahed Maroufy -- Neural network and deep learning methods for EHR data / Duo Yu, Ashraf Yaseen, and Xi Luo -- EHR data analytics and predictions : machine learning methods / Yuxuan Gu, Yuefan Huang, Vi Ly, Ashraf Yaseen, and Hongyu Miao -- Use of EHR data for research : future / Hulin Wu.

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Year of publication:	2020 ; First edition.
Other Persons:	Wu, Hulin (ed.) ; Yamal, Jose-Miguel (ed.) ; Yaseen, Ashraf (ed.) ; Maroufy, Vahed (ed.)
Publisher:	Boca Raton : CRC Press,
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Big Data \| Big data \| Datenerhebung \| Data collection \| Data Analytics \| Data analytics

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Extent:	1 online resource.
Series:	Chapman & Hall/CRC healthcare informatics series
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-1-003-03000-3 ; 1-003-03000-9 ; 978-1-000-26096-0 ; 1-000-26096-8 ; 978-1-000-26094-6 ; 1-000-26094-1 ; 978-1-000-26095-3 ; 1-000-26095-X ; 978-0-367-44239-2
Other identifiers:	10.1201/9781003030003 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013183032