Intro to Data Science for Healthcare

by Rakesh R Pai, Prof. Sheetal Chavan (Editor)

This book is authored byRakesh R Pai is a Data Engineering Manager and IT expert with over 15 years of experience specializing in Azure, Databricks, and cloud data platforms. With an MBA in Business Analytics and an engineering background, he combines technical expertise with strategic insight to advance healthcare data management. Rakesh leads cross-functional teams to improve healthcare data pipelines, focusing on secure, compliant, and patient-centered solutions for more efficient, personalized care. He is also innovating in healthcare technology through an IoT-based patent for inflammation detection, emphasizing both technological advancement and data security.Prof. Suwarna K. Karankal is an experienced academic and researcher in the field of Computer Engineering, currently serving as an Assistant Professor in the Department of Information Technology at D Y Patil College of Engineering, Akurdi, Pune, an autonomous institute affiliated with Savitribai Phule Pune University. With over a decade of teaching and industry experience, she is currently pursuing a Ph.D. in Computer Engineering and has contributed several research publications in areas such as data mining, machine learning and cryptographic systems. Her teaching portfolio spans a wide range of technical subjects, and she has actively participated in academic development programs, workshops, and curriculum design initiatives.Prof. Sheetal Chavan is an accomplished Assistant Professor at Genba Sopanrao Moze College of Engineering, Pune, where she serves as the In-Charge of the AIDS Department. She specializes in teaching IoT and Web Application Development, while actively mentoring students and contributing to cultural activities. In addition to her academic role, she is the Training and Placement Cell Coordinator, playing a key role in student career development and campus recruitment. With prior industry experience in quality assurance at Varroc Engineering Pvt. Ltd., Prof. Chavan earned the prestigious ‘Best of Best’ Quality Circle Award, underscoring her dedication to excellence and continuous improvement. Her leadership and diverse expertise significantly enrich the college community.This book offers a comprehensive and accessible introduction to the field of data science as applied to healthcare, guiding readers through its foundations, methodologies, tools, and real-world applications. Beginning with an overview of the role data science plays in modern healthcare, it moves through essential topics such as data types, data cleaning, exploratory data analysis, machine learning, deep learning, and natural language processing. Each chapter builds conceptually, helping the reader understand how health data can be transformed into actionable insights for clinical care, operational efficiency, and research advancement. The inclusion of case studies and practical examples ensures that theoretical knowledge is grounded in real-world context, making the book relevant for students, researchers, healthcare professionals, and data scientists alike.

The final chapters explore advanced and forward-looking themes such as predictive analytics, federated learning, explainable AI, and the integration of intelligent systems into clinical workflows. With a strong emphasis on ethics, privacy, and interdisciplinary collaboration, the book not only prepares readers for the technical challenges of healthcare data science but also highlights the human and societal dimensions. As the healthcare landscape continues to evolve, this book provides a timely and visionary roadmap for using data science to enhance patient outcomes, empower clinicians, and build smarter, more equitable health systems.

108 pages, Kindle Edition

Published May 30, 2025