Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics
by Wu, Hulin
Title Statements
- Full title :Statistics and Machine Learning Methods for EHR Data : From Data Extraction to Data Analytics.
Edition Statements
- Publication Date:2020.
Publication Statements
- Publisher(s):CRC Press LLC
- Place of Publication:Milton
- Language:eng
- Publication Date:2020.
Notes
Description based upon print version of record.
4.2.2. Data Cleaning Tools for Specific EHR Datasets.
The Physical Object
- Description:1 online resource (329 p.).
Edition Identifiers
- ISBN:9781000260946, 1000260941
- oclc:on1202474939
Table of Contents
Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- About the Editors -- Contributors -- 1. Introduction: Use of EHR Data for Scientific Discoveries -- Challenges and Opportunities -- 1.1. Real-World Data and Real-World Evidence: Big Data in Practice -- 1.2. Use of EMR/EHR Database for Research and Scientific Discoveries: Procedure and Life Cycle -- 1.2.1. Initiate a Project -- 1.2.2. Data Queries and Data Extraction -- 1.2.3. Data Cleaning -- 1.2.4. Data Pre-Processing or Processing -- 1.2.5. Data Preparation
1.2.6. Data Analysis, Modeling and Prediction -- 1.2.7. Result Validation -- 1.2.8. Result Interpretation -- 1.2.9. Publication and Dissemination -- 1.3. Challenges and Opportunities -- References -- 2. EHR Project Management -- 2.1. Introduction -- 2.1.1. What is Project Management? -- 2.1.2. Why We Need Project Management? -- 2.1.3. Project Management Goals and Principles -- 2.2. Project and Sub-Project in EHR Research -- 2.3. Data, Code and Product Management -- 2.3.1. Data Loss Prevention -- 2.3.2. Naming Conventions -- 2.3.3. Version Control -- 2.3.4. Coding Convention
Object-Oriented or Non-Object-Oriented Programming -- 2.3.5…
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