Statistics and Machine Learning Methods for EHR Data is popular PDF and ePub book, written by Hulin Wu in 2020-12-10, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Statistics and Machine Learning Methods for EHR Data can be Read Online from any device for your convenience.
Statistics and Machine Learning Methods for EHR Data Book PDF Summary
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 comparison results for these methods in predicting clinical outcomes based on the EHR data. Key Features: Written based on hands-on experience of contributors from multidisciplinary EHR research projects, which include methods and approaches from statistics, computing, informatics, data science and clinical/epidemiological domains. Documents the detailed experience on EHR data extraction, cleaning and preparation Provides a broad view of statistical approaches and machine learning prediction models to deal with the challenges and limitations of EHR data. Considers the complete cycle of EHR data analysis. The use of EHR/EMR analysis requires close collaborations between statisticians, informaticians, data scientists and clinical/epidemiological investigators. This book reflects that multidisciplinary perspective.
Detail Book of Statistics and Machine Learning Methods for EHR Data PDF
- Author : Hulin Wu
- Release : 10 December 2020
- Publisher : CRC Press
- ISBN : 9781000260960
- Genre : Business & Economics
- Total Page : 268 pages
- Language : English
- PDF File Size : 15,5 Mb
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