mlsanityData to 7 Oct 2026

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System

arXiv 2402.00746 ↗First posted 1 Feb 2024cs.CLcited by 17

On the map: Retrieval-augmented generation → Medical and biomedical RAG

Abstract (arXiv)

Recent advancements in artificial intelligence (AI), especially large language models (LLMs), have significantly advanced healthcare applications and demonstrated potentials in intelligent medical treatment. However, there are conspicuous challenges such as vast data volumes and inconsistent symptom characterization standards, preventing full integration of healthcare AI systems with individual patients' needs. To promote professional and personalized healthcare, we propose an innovative framework, Heath-LLM, which combines large-scale feature extraction and medical knowledge trade-off scoring. Compared to traditional health management applications, our system has three main advantages: (1) It integrates health reports and medical knowledge into a large model to ask relevant questions to large language model for disease prediction; (2) It leverages a retrieval augmented generation (RAG) mechanism to enhance feature extraction; (3) It incorporates a semi-automated feature updating framework that can merge and delete features to improve accuracy of disease prediction. We experiment on a large number of health reports to assess the effectiveness of Health-LLM system. The results indicate that the proposed system surpasses the existing ones and has the potential to significantly advance disease prediction and personalized health management.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 11 of its 24 references that are in the map. First posted on arXiv 1 Feb 2024.

Builds on

11 of 24 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  4. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  5. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  6. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
  7. 2022Large Language Models Encode Clinical Knowledgecited by 1,807
  8. 2020Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease predictioncited by 368
  9. 2018A Review of Challenges and Opportunities in Machine Learning for Healthcited by 67
  10. 2022A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasetscited by 45
  11. 2023CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generationcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 9; 2025: 4; 2026: 4.

17 papers.

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  1. 2024Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilitiescited by 22
  2. 2024M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learningcited by 16
  3. 2024Uncertainty is Fragile: Manipulating Uncertainty in Large Language Modelscited by 13
  4. 2024ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Predictioncited by 12
  5. 2024PersoBench: Benchmarking Personalized Response Generation in Large Language Modelscited by 12
  6. 2025KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMscited by 12
  7. 2024Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnessescited by 8
  8. 2024From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practicecited by 8
  9. 2025MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosiscited by 7
  10. 2024Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphscited by 4
  11. 2025A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Designcited by 3
  12. 2026MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcementcited by 3
5 more
  1. 2024Eir: Thai Medical Large Language Modelscited by 1
  2. 2025HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathwayscited by 1
  3. 2026EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoningcited by 0
  4. 2026Do No Harm? Hallucination and Actor-Level Abuse in Web-Deployed Medical Large Language Modelscited by 0
  5. 2026Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcarecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyond
  2. 2026Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
  3. 2023Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review
  4. 2025Retrieval-Augmented Framework for LLM-Based Clinical Decision Support
  5. 2024Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
  6. 2026A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
  7. 2024Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
  8. 2025Performance of Large Language Models in Supporting Medical Diagnosis and Treatment