#medical-prediction News & Analysis

3 articles tagged with #medical-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · May 296/10

🧠

Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis

Researchers propose using genetic programming to evolve interpretable feature sets and tree structures for survival analysis models, demonstrating improved predictive performance while maintaining shallow, explainable decision trees. The approach addresses the fundamental trade-off between accuracy and interpretability in medical survival prediction by optimizing both feature construction and tree logic simultaneously.

AIBullisharXiv – CS AI · Mar 36/103

🧠

Knowledge Graph Augmented Large Language Models for Disease Prediction

Researchers developed a knowledge graph-guided chain-of-thought framework that uses large language models for disease prediction from electronic health records. The approach outperformed classical baselines and showed strong zero-shot transfer capabilities, with clinicians preferring the AI-generated explanations for their clarity and relevance.

AIBullisharXiv – CS AI · Feb 276/106

🧠

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

Researchers developed a hybrid system combining machine learning ensembles with large language models for heart disease prediction, achieving 96.62% accuracy. The study found that traditional ML models (95.78% accuracy) outperformed standalone LLMs (78.9% accuracy), but combining both approaches yielded the best results for clinical decision-support tools.