Statistics and machine learning methods for EHR data : from data extraction to data analytics / edited by Hulin Wu [and three others].

Format:

Book

Contributor:

Wu, Hulin, editor.

Series:

Chapman & Hall/CRC healthcare informatics series.

Chapman & Hall/CRC healthcare informatics series

Language:

English

Subjects (All):

Medical records--Data processing.

Medical records.

Physical Description:

1 online resource

Edition:

First edition

Place of Publication:

Boca Raton, Florida ; London ; New York : CRC Press, [2021]

Summary:

"The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data"-- Provided by publisher.

Contents:

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.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-303000-9

1-003-03000-9

1-000-26094-1

9781003030003