finelybook
9781787286702
Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
by 作者: Vikas (Vik) Kumar
ISBN-10 书号: 1787286703
ISBN-13 书号: 9781787286702
Publisher Finelybook 出版日期: 2018-07-31
Pages: 268
Book Description
In recent years,machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes.
This book is a complete overview of machine learning for healthcare analytics,briefly describing the current healthcare landscape,machine learning algorithms,and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive,predictive,and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed.
By the end of this book,you will understand how to use Python for healthcare data analysis,how to import,collect,clean,and refine data from electronic health record (EHR) surveys,and how to make predictive models with this data through real-world algorithms and code examples.
Contents
1: INTRODUCTION TO HEALTHCARE ANALYTICS
2: HEALTHCARE FOUNDATIONS
3: MACHINE LEARNING FOUNDATIONS
4: COMPUTING FOUNDATIONS – DATABASES
5: COMPUTING FOUNDATIONS – INTRODUCTION TO PYTHON
6: MEASURING HEALTHCARE QUALITY
7: MAKING PREDICTIVE MODELS IN HEALTHCARE
8: HEALTHCARE PREDICTIVE MODELS – A REVIEW
9: THE FUTURE – HEALTHCARE AND EMERGING TECHNOLOGIES
What you will learn
Gain valuable insight into healthcare incentives,finances,and legislation
Discover the connection between machine learning and healthcare processes
Use SQL and Python to analyze data
Measure healthcare quality and provider performance
Identify features and attributes to build successful healthcare models
Build predictive models using real-world healthcare data
Become an expert in predictive modeling with structured clinical data
See what lies ahead for healthcare analytics
Authors
Vikas “Vik” Kumar
Vikas “Vik” Kumar grew up in the United States in Upstate New York. He earned his MD from the University of Pittsburgh but shortly after he discovered his true calling of computers and data science. He then earned his MS in the College of Computing at Georgia Institute of Technology. He currently lives in Atlanta,Georgia and works as a data scientist at Philips Wellcentive.
