Imagen de Portada

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shang, Tianqi, Yang, Shu, He, Weiqing, Zhai, Tianhua, Li, Dawei, Hou, Bojian, Chen, Tianlong, Moore, Jason H., Ritchie, Marylyn D., Shen, Li
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Computation and Language Computers and Society Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs
por: Kearney, Sophie, et al.
Publicado: (2025)

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data
por: Kearney, Sophie, et al.
Publicado: (2026)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
por: Shang, Tianqi, et al.
Publicado: (2024)

SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text
por: He, Weiqing, et al.
Publicado: (2024)

DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
por: Li, Dawei, et al.
Publicado: (2024)

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
por: Lee, Joseph, et al.
Publicado: (2024)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
por: Li, Dawei, et al.
Publicado: (2024)

BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
por: Wang, Sizhe, et al.
Publicado: (2024)

Agent-OM: Leveraging LLM Agents for Ontology Matching
por: Qiang, Zhangcheng, et al.
Publicado: (2023)

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
por: Xu, Jia, et al.
Publicado: (2025)

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
por: Zhang, Weiming, et al.
Publicado: (2025)

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
por: Lin, Xinyu, et al.
Publicado: (2024)

GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks
por: Ding, Tianqi, et al.
Publicado: (2025)

Irregularity Inspection using Neural Radiance Field
por: Ding, Tianqi, et al.
Publicado: (2024)

A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
por: Wang, Zhanliang, et al.
Publicado: (2026)

UCS: Estimating Unseen Coverage for Improved In-Context Learning
por: Xin, Jiayi, et al.
Publicado: (2026)

Task-Aware Resolution Optimization for Visual Large Language Models
por: Luo, Weiqing, et al.
Publicado: (2025)

Advances in RNA secondary structure prediction and RNA modifications: Methods, data, and applications
por: Yang, Shu, et al.
Publicado: (2025)

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
por: Peng, Letian, et al.
Publicado: (2023)

SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
por: Yang, Jiaye, et al.
Publicado: (2025)

A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support
por: Feng, Yichun, et al.
Publicado: (2025)

TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
por: Luo, Weiqing, et al.
Publicado: (2024)

Automate Knowledge Concept Tagging on Math Questions with LLMs
por: Li, Hang, et al.
Publicado: (2024)

SAGE: Scalable Automated Robustness Augmentation for LLM Knowledge Evaluation
por: Li, Xiaoyuan, et al.
Publicado: (2026)

Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation
por: Li, Bryan, et al.
Publicado: (2025)

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
por: Li, Pingzhi, et al.
Publicado: (2025)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System
por: Yu, Qinkai, et al.
Publicado: (2024)

Augmented Radiance Field: A General Framework for Enhanced Gaussian Splatting
por: Yang, Yixin, et al.
Publicado: (2026)

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2025)

STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation
por: Yu, Peng, et al.
Publicado: (2026)

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
por: Yuan, Xu, et al.
Publicado: (2025)

Knowledge Tagging with Large Language Model based Multi-Agent System
por: Li, Hang, et al.
Publicado: (2024)

Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains
por: Li, Kun, et al.
Publicado: (2024)

READ: Improving Relation Extraction from an ADversarial Perspective
por: Li, Dawei, et al.
Publicado: (2024)

ToolsyBio: A retrieval-augmented generation system for navigating the bioinformatics software landscape
por: Truong, Van Q., et al.
Publicado: (2025)

Thought Graph: Generating Thought Process for Biological Reasoning
por: Hsu, Chi-Yang, et al.
Publicado: (2024)

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
por: Li, Hang, et al.
Publicado: (2024)

MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
por: Zhu, Chenyang, et al.
Publicado: (2026)

Leveraging Retrieval-Augmented Tags for Large Vision-Language Understanding in Complex Scenes
por: Rivera, Antonio Carlos, et al.
Publicado: (2024)

Integrative multi‐omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction
por: Rasika Venkatesh, et al.
Publicado: (2025)