AMIA ... Annual Symposium proceedings. AMIA Symposium最新文献_第10页

Designing Technology-Assisted Interventions for Justice-Impacted Black American Women. 为受司法影响的美国黑人妇女设计技术辅助干预。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Terika McCall, Amelea Lowery, Bria Massey, Meera Swaminath, Shamima Afrose, Monya Saunders, Karen H Wang

{"title":"Designing Technology-Assisted Interventions for Justice-Impacted Black American Women.","authors":"Terika McCall, Amelea Lowery, Bria Massey, Meera Swaminath, Shamima Afrose, Monya Saunders, Karen H Wang","doi":"","DOIUrl":"","url":null,"abstract":"This study explores the challenges faced by justice-impacted Black women during their reintegration into society, with a focus on mental health care access and the potential for technology-assisted interventions to address barriers. Participants from focus groups emphasized significant obstacles, including inadequate mental health resources during incarceration, insufficient post-release support, and barriers such as discrimination, lack of insurance, and transportation issues. When designing technology-assisted interventions, such as the Welcome Home app, additional considerations for justice-impacted Black women include trauma-informed design, tiered support systems, integration with electronic health records, privacy protection, and culturally tailored content. The study underscores the importance of culturally relevant, user-centered digital solutions to improve health outcomes and facilitate the successful reintegration of Black women impacted by the criminal legal system. Apps that provide a sense of community promote engagement, which may improve health outcomes.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"854-860"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross Biobank Comparison of Phenomic Profiles. 表型谱的跨生物库比较。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Abigail Newbury, Xinzhuo Jiang, Karthik Natarajan, Gamze Gürsoy

引用次数: 0

Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses. 文化提示提高了gpt产生的治疗反应的共情和文化反应性。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Serena Jinchen Xie, Shumenghui Zhai, Yanjing Liang, Jingyi Li, Xuehong Fan, Trevor Cohen, Weichao Yuwen

{"title":"Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses.","authors":"Serena Jinchen Xie, Shumenghui Zhai, Yanjing Liang, Jingyi Li, Xuehong Fan, Trevor Cohen, Weichao Yuwen","doi":"","DOIUrl":"","url":null,"abstract":"Large Language Model (LLM)-based conversational agents offer promising solutions for mental health support, but lack cultural responsiveness for diverse populations. This study evaluated the effectiveness of cultural prompting in improving cultural responsiveness and perceived empathy of LLM-generated therapeutic responses for Chinese American family caregivers. Using a randomized controlled experiment, we compared GPT-4o and Deepseek-V3 responses with and without cultural prompting. Thirty-six participants evaluated input-response pairs on cultural responsiveness (competence and relevance) and perceived empathy. Results showed that cultural prompting significantly enhanced GPT-4o's performance across all dimensions, with GPT-4o with cultural prompting being the most preferred, while improvements in DeepSeek-V3 responses were not significant. Mediation analysis revealed that cultural prompting improved empathy through improving cultural responsiveness. This study demonstrated that prompt-based techniques can effectively enhance the cultural responsiveness of LLM-generated therapeutic responses, highlighting the importance of cultural responsiveness in delivering empathetic AI-based therapeutic interventions to culturally and linguistically diverse populations.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"1384-1393"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding Primary and Secondary Concerns from Patient Portal Messages through Clinical Data Annotation, Analysis, and Modeling. 通过临床数据注释、分析和建模，了解患者门户信息的主要和次要关注点。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Yuqi Wu, Yang Ren, Heling Jia, Taylor Harrison, Jungwei Fan, Hongfang Liu, Ming Huang

引用次数: 0

Development and Usability Testing of a Web-Based Research Guide for Health Solutions Grant Writing. 基于网络的健康解决方案研究指南的开发和可用性测试。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Maheswari Eluru, Aishwarya S Potturu, Matthew Scotch, Lisa Allen, Nancy Osgood, Ana Tello, Adela Grando

{"title":"Development and Usability Testing of a Web-Based Research Guide for Health Solutions Grant Writing.","authors":"Maheswari Eluru, Aishwarya S Potturu, Matthew Scotch, Lisa Allen, Nancy Osgood, Ana Tello, Adela Grando","doi":"","DOIUrl":"","url":null,"abstract":"Young scientists, including postdocs and assistant professors, need access to grant writing resources for training and proposal development. To assist in this, we developed a web-based research guide providing centralized access to curated tools throughout the research funding process- finding funding, preparing proposals, managing awards, etc. Using consumer informatics principles, we enhanced the research grant repository's effectiveness, with lessons learned and insights generalizable to other institutions. Six faculty members completed nine tasks to explore the guide's ten sections. Participants found the guide highly usable, with an excellent System Usability Scale (SUS) score of 89.2. Suggestions included improving navigation, content organization and providing education on award management processes. Liked features were the chronological organization of information, samples from successful grants, pre-populated templates, and mechanisms for ongoing feedback. These findings underscore the importance of usability in developing resources that effectively support faculty in grant writing and proposal development.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"378-387"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099331/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection. 增强基因表达谱的元学习增强肺癌检测。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong, Zijun Yao

{"title":"Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection.","authors":"Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong, Zijun Yao","doi":"","DOIUrl":"","url":null,"abstract":"Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodologies such as deep neural networks for sophisticated analysis. To address this \"small data\" dilemma, Meta-Learning has been introduced as a solution to enhance the optimization of machine learning models by utilizing similar datasets, thereby facilitating a quicker adaptation to target datasets without the requirement of sufficient samples. In this study, we present a meta-learning-based approach for predicting lung cancer from gene expression profiles. We apply this framework to well-established deep learning methodologies and employ four distinct datasets for the meta-learning tasks, where one as the target dataset and the rest as source datasets. Our approach is evaluated against both traditional and deep learning methodologies, and the results show the superior performance of meta-learning on augmented source data compared to the baselines trained on single datasets. Moreover, we conduct the comparative analysis between meta-learning and transfer learning methodologies to highlight the efficiency of the proposed approach in addressing the challenges associated with limited sample sizes. Finally, we incorporate the explainability study to illustrate the distinctiveness of decisions made by meta-learning.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"828-837"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Granger Causal Discovery for Derangements in ICU-Acquired Acute Kidney Injury Patients. 重症监护下获得性急性肾损伤患者神经紊乱的Granger因果发现。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Haowei Xu, Wentie Liu, Tongyue Shi, Guilan Kong

{"title":"Neural Granger Causal Discovery for Derangements in ICU-Acquired Acute Kidney Injury Patients.","authors":"Haowei Xu, Wentie Liu, Tongyue Shi, Guilan Kong","doi":"","DOIUrl":"","url":null,"abstract":"Nowadays, healthcare systems increasingly utilize automated surveillance of electronic medical record (EMR) data to detect adverse events with specific patterns. Despite these technological advances, the early identification of adverse events remains challenging due to the absence of clearly defined prodromal sequences that could signal the onset of such events. Achieving clinically meaningful and interpretable prediction outcomes necessitates a framework that is capable of (i) deducing temporal relationships among various time series features within EMR data (e.g., laboratory test results, vital signs), and (ii) identifying specific patterns that herald the occurrence of an adverse event (e.g., acute kidney injury (AKI)). This study employs a time series forecasting approach to undertake neural Granger causal analysis, and further enhance it by integrating a personalized PageRank algorithm to analyze the critical causal derangements among ICU-acquired AKIpatients. An experimental analysis based on the proposed methodology was conducted using a dataset from MIMIC-IV.Finally, a Granger causality (GC) graph, which revealed several interpretable GC chains that could be used to predict the occurrence ofAKI in ICU settings, was generated. The GC graph and GC chains identified in this study have the potential to aid ICU physicians in providing timely interventions and may help improve patient outcomes.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"1265-1274"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing the Power of Large Language Models (LLMs) to Unravel the Influence of Genes and Medications on Biological Processes of Wound Healing. 利用大语言模型（LLMs）的力量来揭示基因和药物对伤口愈合生物过程的影响。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Jayati H Jui, Milos Hauskrecht

{"title":"Harnessing the Power of Large Language Models (LLMs) to Unravel the Influence of Genes and Medications on Biological Processes of Wound Healing.","authors":"Jayati H Jui, Milos Hauskrecht","doi":"","DOIUrl":"","url":null,"abstract":"Recent advancements in Large Language Models (LLMs) have ushered in a new era for knowledge extraction in the domains of biological and clinical natural language processing (NLP). In this research, we present a novel approach to understanding the regulatory effects of genes and medications on biological processes central to wound healing. Utilizing the capabilities of Generative Pre-trained Transformer (GPT) models by OpenAI, specifically GPT-3.5 and GPT-4, we developed a comprehensive pipeline for the identification and grounding of biological processes and the extraction of such regulatory relations. The performances of both GPTs were rigorously evaluated against a manually annotated corpus of 104 PubMed titles, focusing on their ability to accurately identify and ground biological process concepts and extract relevant regulatory relationships from the text. Our findings demonstrate that GPT-4, in particular, exhibits superior performance in all the tasks, showcasing its potential to facilitate significant advancements in biomedical research without requiring model fine-tuning.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"571-580"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099351/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Interactive Web Application for School-Based Physical Fitness Testing in California: Geospatial Analysis and Custom Mapping. 加州校本体能测试的互动网路应用程式：地理空间分析与自订绘图。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Yawen Guo, Kaiyuan Hu, Di Hu, Kai Zheng, Dan M Cooper

{"title":"An Interactive Web Application for School-Based Physical Fitness Testing in California: Geospatial Analysis and Custom Mapping.","authors":"Yawen Guo, Kaiyuan Hu, Di Hu, Kai Zheng, Dan M Cooper","doi":"","DOIUrl":"","url":null,"abstract":"Physical activity is crucial for children's healthy growth and development. In the US, most states have physical education standards. California implemented the mandated School-based Physical Fitness Testing (SB-PFT) over two decades ago. Despite the substantial effort in collecting the SB-PFT data, its research reuse has been limited due to the lack of readily accessible analytical tools. We developed a web application utilizing GeoServer, ArcGIS, and AWS to visualize the SB-PFT data. Education administrators and policymakers can leverage this user-friendly platform to gain insights into children's physical fitness trend, and identify schools and districts with successful programs to gauge the success of new physical education programs. The application also includes a custom mapping tool that allows users to compare external datasets with SB-PFT. We conclude that by incorporating advanced analytical capabilities through an informatics-based user-facing tool, this platform has great potential to encourage a broader engagement in enhancing children's physical fitness.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"463-472"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating Multi-sensor Time-series Data for ALSFRS-R Clinical Scale Predictions in an ALS Patient Case Study. 整合多传感器时间序列数据用于ALS患者病例研究中ALSFRS-R临床量表预测。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Noah Marchal, William E Janes, Juliana H Earwood, Abu S M Mosa, Mihail Popescu, Marjorie Skubic, Xing Song

{"title":"Integrating Multi-sensor Time-series Data for ALSFRS-R Clinical Scale Predictions in an ALS Patient Case Study.","authors":"Noah Marchal, William E Janes, Juliana H Earwood, Abu S M Mosa, Mihail Popescu, Marjorie Skubic, Xing Song","doi":"","DOIUrl":"","url":null,"abstract":"Clinical tools for tracking functional decline in amyotrophic lateral sclerosis (ALS) rely on in-clinic guided assessments, such as the gold standard ALS Functional Rating Scale Revised (ALSFRS-R) instrument, thus limiting the frequency of collection and potentially delaying needed treatments. As such, ALS clinicians may miss subtle yet critical shifts inpatient health -pointing to the needfor objective and continuous capturing of day-to-day functional status. In-home health sensors could supplement clinical instruments with more frequent, quantitative measurements as early indicators of change. Using the XGBoost regressor in base learning, we explore interpolation techniques for aligning monthly ALSFRS-R assessment targets with high frequency sensor-based health features. We evaluated 9 interpolation models, which demonstrate superior prediction of ALSFRS-R scores compared to traditional clinical scale estimates based on linear slope. This pilot work provides a practical approach of modeling mixed-frequency data and shows the potential of using sensor-based health estimates as sensitive prognostic markers.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"788-797"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0