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RamyaRagu2506/README.md

MSc AI student at Vrije Universiteit Amsterdam, specializing in healthcare AI. Currently researching LLM-generated clinical explanations for survival models primarily focusing on trust calibration, confidence communication, and evaluation frameworks for safe deployment in clinical environments. Interested in explainable AI, NLP , and human-AI decision-making for medicine.

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  1. Hybrid_Ontology_Extraction_System_for_Knowledge_Graphs Hybrid_Ontology_Extraction_System_for_Knowledge_Graphs Public

    Hybrid pipeline combining LLM-based entity extraction with existing ontologies for knowledge graph construction - reducing hallucinations through confidence-based prompt strategies

    Jupyter Notebook

  2. MedOntoKG_Ontology_enhanced_Biomedical_Text_Mining_for_comprehensive_knowledge_extraction MedOntoKG_Ontology_enhanced_Biomedical_Text_Mining_for_comprehensive_knowledge_extraction Public

    Ontology-driven knowledge graph system for biomedical NER and relation extraction across diagnosis, prognosis & treatment in neurodegenerative diseases.

    Jupyter Notebook

  3. Drug-Assessment-Clinical-Support-System Drug-Assessment-Clinical-Support-System Public

    Sentiment-based clinical decision support system for drug assessment using ML algorithms, LSTM with TextBlob, and Vader.

    Jupyter Notebook