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Application of Python in the Healthcare Technology

Medical Data Analysis and Developing ML/AI Models

  • 1st Edition - April 1, 2027
  • Latest edition
  • Author: Praveen Kumar M
  • Language: English

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… Read more

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Description

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.

Key features

  • Covers Python programming, from beginner level to advanced
  • Uses the programming language Python to show doctors and other allied healthcare graduates how to impact patient care with world-class technology
  • Follows the principle of utility-based learning rather than technical-based learning to suit the needs of medical graduate audience
  • Covers hot topics like deep learning and advanced statistics

Readership

Doctors, nursing professionals, paramedics & allied sciences graduates, pharmacists, Biologists or any non-technical graduate in general

Table of contents

1. Requirements to be installed for setting up an environment to work with python

2. Built-in Data structures in python

3. Python Class, Methods and Functions

4. Analyzing data using Pandas and numpy

5. Basic statistical analysis in Python

6. Advanced statistical analysis in Python

7. Graphical visualization using matplotlib

8. Developing machine learning models using scikit-learn

9. Developing deep learning models using tensorflow

10. Developing image classifier and image identifier model using deep learning techniques

11. Accessing web using Active Programming Interface (API)

12. Version control system using Git and Github

13. Websites for staying abreast with the latest developments in python

Product details

  • Edition: 1
  • Latest edition
  • Published: April 1, 2027
  • Language: English

About the author

PK

Praveen Kumar M

Praveen Kumar M is a clinical pharmacology specialist with expertise in clinical research, biomedical data science, and evidence generation. He serves as a Clinical Research Manager and works at the intersection of clinical pharmacology, medical research, and computational methodologies to support the analysis and interpretation of biomedical data. His professional interests include clinical research, real-world evidence, pharmacoepidemiology, and the application of data science tools in healthcare. In addition to his research activities, he has experience in programming and data analytics, utilizing computational approaches to advance biomedical knowledge and support healthcare innovation. Dr. Kumar has contributed to the scientific literature through scholarly publications and collaborative research initiatives in clinical and translational medicine.
Affiliations and expertise
Clinical Research Manager, Nference Labs Pvt Ltd, USA