Application of Python in the Healthcare Technology - Medical Data Analysis and Developing ML/AI Models

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered.

Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

About the author

Dr Praveen Kumar M is a super-specialist (DM) in Clinical Pharmacology and graduated from Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh. He works as Clinical research manager at Nference, a US based company which aims to make the world's biomedical knowledge computable. He has published more than 75 PubMed index papers with 765 citations.. He is well trained in R, python, Unix and SQL languages and employs it daily.

Product details

• Authors: Praveen Kumar M, Praveen Kumar M
• Publisher: Elsevier
• Languages: English
• Product format: Paperback / Softback
• Release: 01.12.2025
• EAN: 9780443219191
• ISBN: 978-0-443-21919-1
• Weight: 450 g
• Subjects: Natural sciences, medicine, IT, technology > Biology > General, dictionaries; COMPUTERS / Data Science / Data Visualization, Medical and health informatics, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis, Medical bioinformatics, MEDICAL / Informatics