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Interpretable Gen AI for Informed Healthcare Decisions

Build an interactive chatbot combining logistic regression and generative AI to analyze cervical cancer risk factors. Learn to preprocess data, interpret model coefficients, and deliver personalized, actionable health insights. Designed for data scientists, healthcare professionals, and AI enthusiasts, this 1-hour project empowers you to create AI-driven tools for preventive care and informed decision-making. Perfect for bridging AI and healthcare innovation!

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Guided Project

Artificial Intelligence

4.8
(4 Reviews)

At a Glance

Build an interactive chatbot combining logistic regression and generative AI to analyze cervical cancer risk factors. Learn to preprocess data, interpret model coefficients, and deliver personalized, actionable health insights. Designed for data scientists, healthcare professionals, and AI enthusiasts, this 1-hour project empowers you to create AI-driven tools for preventive care and informed decision-making. Perfect for bridging AI and healthcare innovation!

Explore risk factors for cervical cancer by combining interpretable AI techniques with generative AI to create a conversational chatbot that delivers personalized, actionable health insights. Learn to preprocess and analyze healthcare data using logistic regression, and integrate LangChain to build a user-friendly chatbot powered by IBM watsonx. This project provides hands-on experience in blending data science, machine learning, and interactive AI to enhance preventive care and informed decision-making.

Whether you're a data scientist, healthcare professional, or AI enthusiast, this project equips you with practical skills to create impactful healthcare applications that merge interpretable AI with conversational capabilities.

Learning objectives


Upon completing this project, you will:

  • Understand how to preprocess healthcare data, handle missing values, and engineer features for model training.
  • Train and interpret logistic regression models to analyze risk factors for cervical cancer.
  • Build and configure a generative AI-powered chatbot using LangChain to translate model findings into user-friendly insights.
  • Evaluate the chatbot’s responses to ensure clarity, relevance, and actionable recommendations.

Prerequisites


To successfully complete this project, you should have:

  • A basic understanding of Python programming and libraries such as Pandas, Scikit-learn, and Matplotlib.
  • Familiarity with logistic regression and AI tools such as LangChain.
  • An interest in applying AI to healthcare challenges and building interactive solutions.

Estimated Effort

1 Hour

Level

Intermediate

Skills You Will Learn

Generative AI, Interpretable AI, LangChain, Machine Learning, Scikit-learn

Language

English

Course Code

GPXX0G6UEN

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