Statistics and Machine Learning Methods for EHR Data - 9780367442392
Statistics and Machine Learning Methods for EHR DataFrom Data Extraction to Data Analytics
Author(s): Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen, Vahed Maroufy
Format: Hardback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367442392, 978-0367442392
Synopsis
The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. 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 compar.
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Statistics and Machine Learning Methods for EHR Data - 9780367442392
Statistics and Machine Learning Methods for EHR DataFrom Data Extraction to Data Analytics
Author(s): Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen, Vahed Maroufy
Format: Hardback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367442392, 978-0367442392
Synopsis
The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. 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 compar.
Price now:
From
£120.91
To
£140.00
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Product Description
Statistics and Machine Learning Methods for EHR DataFrom Data Extraction to Data Analytics
Author(s): Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen, Vahed Maroufy
Format: Hardback
Publisher: Taylor & Francis Ltd, United Kingdom
Imprint: Chapman & Hall/CRC
ISBN-13: 9780367442392, 978-0367442392
Synopsis
The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. 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 compar.
Product Specifications
General | |
|---|---|
format | hardcover |
Language | english |
series | chapman and hall/crc healthcare informatics ser. |
type | textbook |
Brand | CRC Press |
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