Data Science for Healthcare by Nitin Singh (.ePUB)
File Size: 10 MB
Data Science for Healthcare: Applying ML and AI to solve real-world healthcare problems by Nitin Singh
Requirements: .ePUB reader, 10 MB
Overview: Healthcare is under pressure to do more with less. Data science and AI are now used to predict risk, reduce avoidable admissions, speed up documentation, and guide clinical decisions. The industry is rapidly being transformed by the power of data, using advanced analytics and predictive models to improve patient care and operational efficiency. In this book, you will learn how healthcare data is captured and structured, how to clean and prepare it, and how to build predictive models for problems like sepsis risk and length of stay. The book covers natural language processing for clinical notes, computer vision for imaging, and generative AI for tasks such as question answering and denial review. It also shows how to evaluate models, monitor them in production, and design workflows that people will actually use. Predictive analytics models, developed using Python libraries such as Pandas and Scikit-learn, were applied to identify potential errors before they occurred, enabling proactive correction. This book is for anyone working at the intersection of data and healthcare, including data scientists, analysts, machine learning engineers, clinical informatics teams, and digital health leaders.
Genre: Non-Fiction > Tech & Devices
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