TY  - BOOK
AU  - Wu,Hulin
AU  - Yamal,Jose-Miguel
AU  - Yaseen,Ashraf
AU  - Maroufy,Vahed
TI  - Statistics and machine learning methods for EHR data: from data extraction to data analytics 
T2  - Chapman & Hall/CRC healthcare informatics series
SN  - 9781003030003
AV  - R864 
U1  - 610.285 23
PY  - 2020///
CY  - Boca Raton
PB  - CRC Press
KW  - Medical records
KW  - Data processing
KW  - Machine learning
KW  - BUSINESS & ECONOMICS / Industries / Service Industries
KW  - bisacsh
KW  - COMPUTERS / Database Management / Data Mining
KW  - MATHEMATICS / Probability & Statistics / General
N1  - 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
N2  - "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"--
UR  - https://www.taylorfrancis.com/books/9781003030003
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -