A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments and personalized treatment recommendations, showcasing the potential of AI in multidisciplinary medicine.
AI for healthcare innovation, empowering medical research and diagnosis.
Lung cancer prediction model that evaluates the probability of having cancer based on key indicators such as symptoms and behaviors. The original data was collected from the "online lung cancer prediction system" website.
This repositry features a DQN network for the pathway extraction in the process of prediction on which type of Anemia is the person suffering or not suffering Anemia at all. It is based on a Deep Reinforcement Learning based architecture and also has comparisons with state of the art Machine Learning Classifiers.
An AI Powered Diagnostic Assistant
CareAI: Personalized Medical Advisory System uses AI to give personalized healthcare advice based on patient information, helping improve care and overall health.
The project aims to recommend medicines based on product uses similarity, side effects, and product review weightages. Powered by NLP techniques like TF-IDF and Cosine Similarity, the system provides intelligent and user-centric recommendations.
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