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

Fuente: arXiv
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Main Authors: Shang, Tianqi, Yang, Shu, He, Weiqing, Zhai, Tianhua, Li, Dawei, Hou, Bojian, Chen, Tianlong, Moore, Jason H., Ritchie, Marylyn D., Shen, Li
Format: Preprint
Published: 2024
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author Shang, Tianqi
Yang, Shu
He, Weiqing
Zhai, Tianhua
Li, Dawei
Hou, Bojian
Chen, Tianlong
Moore, Jason H.
Ritchie, Marylyn D.
Shen, Li
author_facet Shang, Tianqi
Yang, Shu
He, Weiqing
Zhai, Tianhua
Li, Dawei
Hou, Bojian
Chen, Tianlong
Moore, Jason H.
Ritchie, Marylyn D.
Shen, Li
contents Growing evidence suggests that social determinants of health (SDoH), a set of nonmedical factors, affect individuals' risks of developing Alzheimer's disease (AD) and related dementias. Nevertheless, the etiological mechanisms underlying such relationships remain largely unclear, mainly due to difficulties in collecting relevant information. This study presents a novel, automated framework that leverages recent advancements of large language model (LLM) and natural language processing techniques to mine SDoH knowledge from extensive literature and integrate it with AD-related biological entities extracted from the general-purpose knowledge graph PrimeKG. Utilizing graph neural networks, we performed link prediction tasks to evaluate the resultant SDoH-augmented knowledge graph. Our framework shows promise for enhancing knowledge discovery in AD and can be generalized to other SDoH-related research areas, offering a new tool for exploring the impact of social determinants on health outcomes. Our code is available at: https://github.com/hwq0726/SDoHenPKG
format Preprint
id arxiv_https___arxiv_org_abs_2410_09080
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
Shang, Tianqi
Yang, Shu
He, Weiqing
Zhai, Tianhua
Li, Dawei
Hou, Bojian
Chen, Tianlong
Moore, Jason H.
Ritchie, Marylyn D.
Shen, Li
Artificial Intelligence
Computation and Language
Computers and Society
Machine Learning
Growing evidence suggests that social determinants of health (SDoH), a set of nonmedical factors, affect individuals' risks of developing Alzheimer's disease (AD) and related dementias. Nevertheless, the etiological mechanisms underlying such relationships remain largely unclear, mainly due to difficulties in collecting relevant information. This study presents a novel, automated framework that leverages recent advancements of large language model (LLM) and natural language processing techniques to mine SDoH knowledge from extensive literature and integrate it with AD-related biological entities extracted from the general-purpose knowledge graph PrimeKG. Utilizing graph neural networks, we performed link prediction tasks to evaluate the resultant SDoH-augmented knowledge graph. Our framework shows promise for enhancing knowledge discovery in AD and can be generalized to other SDoH-related research areas, offering a new tool for exploring the impact of social determinants on health outcomes. Our code is available at: https://github.com/hwq0726/SDoHenPKG
title Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
topic Artificial Intelligence
Computation and Language
Computers and Society
Machine Learning
url https://arxiv.org/abs/2410.09080