AMIA ... Annual Symposium proceedings. AMIA Symposium最新文献

筛选
英文 中文
User Comprehension and EHR Integration of the RealRisks Decision Aid for Breast Cancer Risk Assessment: A Qualitative Study. 乳腺癌风险评估RealRisks决策辅助系统的用户理解与电子病历集成:一项定性研究。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Subiksha Umakanth, Anna Vaynrub, Harry West, Jill Dimond, Alissa Michel, Katherine D Crew, Rita Kukafka
{"title":"User Comprehension and EHR Integration of the <i>RealRisks</i> Decision Aid for Breast Cancer Risk Assessment: A Qualitative Study.","authors":"Subiksha Umakanth, Anna Vaynrub, Harry West, Jill Dimond, Alissa Michel, Katherine D Crew, Rita Kukafka","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>RealRisks is a decision aid that integrates patient-generated and electronic health record (EHR) data using Fast Healthcare Interoperability Resources (FHIR). It offers modules to enhance understanding of breast cancer risk and a way for individuals to review and modify their EHR data before it is used in their personal risk assessment. RealRisks intends to encourage high-risk patients to take risk-reducing measures. To better understand how patients understand risk and barriers to action, we conducted in-depth interviews as part of a usability study to assess the clarity and interpretability of RealRisks. Overall, participants demonstrated an improved understanding of breast cancer risk after using RealRisks. However, challenges were noted for certain concepts, in particular, lifetime risk, how benign breast disease affects your risk, and the differences between hereditary, sporadic, and familial cancer. The EHR download feature was well-received, but some raised concerns about insurance and privacy/security.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"1129-1138"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144859","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":"<p><p>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.</p>","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
Extraction of Normalized Symptom Mentions From Clinical Narratives Using Large Language Models. 使用大型语言模型从临床叙述中提取规范化症状提及。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Afia Z Khan
{"title":"Extraction of Normalized Symptom Mentions From Clinical Narratives Using Large Language Models.","authors":"Afia Z Khan","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Symptoms, or subjective experiences of patients which can indicate underlying pathology, are important for guiding clinician decision-making and revealing patient wellbeing. However, they are difficult to study because information is primarily found in clinical free text, not in structured electronic health record fields. This study finds that large language models (LLMs) can extract several common symptom concepts from clinical narratives, using an approach of including clarifying information in the prompt, few-shot examples, and chain-of-thought-prompting. This approach is compared to symptom-specific machine learning classifiers based on clinical concepts mapped from free text. For most symptom concepts, the LLM performs better and achieves a higher F1-score, likely by leveraging context important for the symptom normalization task. Unlocking information about symptom concepts from clinical narratives has potential to improve healthcare workflows and facilitate a broad range of research agendas.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"600-609"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099330/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144643","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 Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank. 使用英国生物银行识别阿尔茨海默病快速进展的可解释人口图网络。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Weimin Meng, Rohit Inampudi, Xiang Zhang, Jie Xu, Yu Huang, Mingyi Xie, Jiang Bian, Rui Yin
{"title":"An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank.","authors":"Weimin Meng, Rohit Inampudi, Xiang Zhang, Jie Xu, Yu Huang, Mingyi Xie, Jiang Bian, Rui Yin","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Alzheimer's disease (AD) manifests with varying progression rates across individuals, necessitating the understanding of their intricate patterns of cognition decline that could contribute to effective strategies for risk monitoring. In this study, we propose an innovative interpretable population graph network framework for identifying rapid progressors of AD by utilizing patient information from electronic health-related records in the UK Biobank. To achieve this, we first created a patient similarity graph, in which each AD patient is represented as a node; and an edge is established by patient clinical characteristics distance. We used graph neural networks (GNNs) to predict rapid progressors of AD and created a GNN Explainer with SHAP analysis for interpretability. The proposed model demonstrates superior predictive performance over the existing benchmark approaches. We also revealed several clinical features significantly associated with the prediction, which can be used to aid in effective interventions for the progression of AD patients.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"808-817"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144695","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
Barriers and Facilitators of Digital Health Use for Self-Management of Hypertensive Disorders by Black Pregnant Women. 黑人孕妇高血压疾病自我管理中数字健康使用的障碍和促进因素
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Morgan A Foreman, Angela Ross, Angela P H Burgess, Sahiti Myneni, Amy Franklin
{"title":"Barriers and Facilitators of Digital Health Use for Self-Management of Hypertensive Disorders by Black Pregnant Women.","authors":"Morgan A Foreman, Angela Ross, Angela P H Burgess, Sahiti Myneni, Amy Franklin","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Although digital health tools are increasingly common for managing health conditions, these applications are often developed without consideration of differences across user populations. A reproducible framework is needed to support tailoring applications to include cultural considerations, potentially leading to better adoption and more effective use. As a first step, this study captures a snapshot of Black women's barriers and facilitators in using digital health products for self-management of hypertensive disorders of pregnancy (HDP). One-on-one semi-structured interviews were conducted with 17 Black pregnant women with HDP. We established a unique model for cultural tailoring with these experiences using Black feminist theory and the CDC's Social-Ecological Model (SEM). 38 themes across the four levels of SEM were found through grounded theory. These themes can inform the feature development of a digital health intervention. Future work will instantiate and validate a framework that provides theoretical constructs for developing culturally tailored digital health interventions.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"433-442"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144702","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
Characterizing Treatment Non-responders and Responders in Completed Alzheimer's Disease Clinical Trials. 已完成的阿尔茨海默病临床试验中治疗无反应和反应的特征
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Dulin Wang, Yaobin Ling, Kristofer Harris, Paul E Schulz, Xiaoqian Jiang, Yejin Kim
{"title":"Characterizing Treatment Non-responders and Responders in Completed Alzheimer's Disease Clinical Trials.","authors":"Dulin Wang, Yaobin Ling, Kristofer Harris, Paul E Schulz, Xiaoqian Jiang, Yejin Kim","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Characterizing differential responses to Alzheimer's disease (AD) drugs will provide better insights into personalized treatment strategies. Our study aims to identify heterogeneous treatment effects and pre-treatment features that moderate the treatment effect of Galantamine, Bapineuzumab, and Semagacestat from completed trial data. The causal forest method can capture heterogeneity in treatment responses. We applied causal forest modeling to estimate the treatment effect and identify efficacy moderators in each trial. We found several patient's pretreatment conditions that determined treatment efficacy. For example, in Galantamine trials, whole brain volume (1092.54 vs. 1060.67 ml, P < .001) and right hippocampal volume (2.43e-3 vs. 2.79e-3, P < .001) are significantly different between responsive and non-responsive subgroups. Overall, our implementation of causal forests in AD clinical trials reveals the heterogeneous treatment effects and different moderators for AD drug responses, highlighting promising personalized treatment based on patient-specific characteristics in AD research and drug development.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"1176-1185"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144630","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
Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence. 基于人工智能的乳腺癌研究数据生成技术比较分析。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Tia M Pope, Ahmad Patooghy
{"title":"Comparative Analysis of Data Generation Techniques for Breast Cancer Research Using Artificial Intelligence.","authors":"Tia M Pope, Ahmad Patooghy","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study investigates the use of ChatGPT to support clinical teams with limited expertise in generating synthetic data for breast cancer research. It assesses ChatGPT's application, focusing on effective prompting and best practices for creating high-fidelity synthetic data. The research compares the generated synthetic data to the Wisconsin Breast Cancer Dataset through statistical analysis, structural similarity metrics, and machine learning performance. Results indicate that the quality of prompts and generation techniques significantly affects the data's fidelity. The study highlights the critical role of prompt engineering and data synthesis techniques in producing accurate synthetic data for healthcare research, underscoring the need for precise prompts and generation methods to maintain data integrity in sensitive areas like cancer research.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"910-919"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099320/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144363","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
Voice-Activated Self-Monitoring Application (VoiS): Perspectives from People with Diabetes and Hypertension. 声控自我监测应用(VoiS):来自糖尿病和高血压患者的观点。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Paramita Basak Upama, Min Sook Park, Jake Luo, Evelyn Chan, Jeff Whittle, Sheikh Iqbal Ahamed
{"title":"Voice-Activated Self-Monitoring Application (VoiS): Perspectives from People with Diabetes and Hypertension.","authors":"Hyunkyoung Oh, Li Yang, Tala Abu Zahra, Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Paramita Basak Upama, Min Sook Park, Jake Luo, Evelyn Chan, Jeff Whittle, Sheikh Iqbal Ahamed","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This paper describes the development and usability test processes of the voice-activated self-monitoring (VoiS) application. VoiS is an innovative, theory-driven mobile app on a smart speaker platform that supports routine and convenient self-monitoring of blood pressures, glucose levels, and health behaviors by people with coexisting diabetes and hypertension. It improves the quality of their communication with healthcare providers. The prototype of VoiS includes voice interaction with Amazon Alexa and data representation using smartphones (iOS and Android). Fourteen people with coexisting diabetes and hypertension participated in usability testing. After completing a range of tasks individually, testers participated in group interviews. We used a survey based on the Technology Acceptance Model to measure the ease of use and perceived usefulness of VoiS. All interviews were recorded and transcribed, and then common themes were extracted. Participants found VoiS to be easy to use and useful.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"875-884"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099394/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144432","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
Designing for Better Pre-hospital Communication: Participatory Design of a Telemedicine Application for Emergency Departments. 为更好的院前沟通而设计:急诊部远程医疗应用的参与式设计。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Enze Bai, Zhan Zhang, Yincao Xu, Kathleen Adelgais, Mustafa Ozkaynak
{"title":"Designing for Better Pre-hospital Communication: Participatory Design of a Telemedicine Application for Emergency Departments.","authors":"Enze Bai, Zhan Zhang, Yincao Xu, Kathleen Adelgais, Mustafa Ozkaynak","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Pre-hospital communication, which usually refers to the communication process between pre-hospital and hospital providers, is crucial for the effective management of critically injured or ill patients. Despite its importance, persistent challenges such as miscommunication have been significant barriers. Telemedicine systems have been proposed to overcome these challenges, yet existing research primarily focuses on using off-the-shelf systems to evaluate their feasibility and effectiveness of implementation without investigating users' needs and perceptions. To bridge this research gap, our study employed a user-centered design approach to co-create an integrated telemedicine system with emergency care providers to ensure that the system meets the specific needs of care providers and aligns with existing clinical workflows. We present the system design process, the features desired by users to address challenges in pre-hospital communication, and the socio-technical considerations for implementing telemedicine in the dynamic emergency care setting. We conclude the paper by discussing the design implications.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"152-161"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099441/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144449","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
Discovery of User Requirements to Support Remote Health Coaching and Care Coordination in a CMS Demonstration Project. 在CMS示范项目中发现支持远程健康指导和护理协调的用户需求。
AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Katrina K Boles, Lisa Young, Chuka Emezue, Knoo Lee, Lori Popejoy, Blaine Reeder
{"title":"Discovery of User Requirements to Support Remote Health Coaching and Care Coordination in a CMS Demonstration Project.","authors":"Katrina K Boles, Lisa Young, Chuka Emezue, Knoo Lee, Lori Popejoy, Blaine Reeder","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Remote interventionists in the novel ASSETs for Aging in Place demonstration project rely on smart home and wearable sensor data to understand daily behavior patterns of older adult clients discharged from nursing homes to the community and to inform coaching during telehealth visits to help clients self-manage personal goals for health and independence. We employed contextual inquiry during design of the interventionist dashboard to support the new ASSETs program. Focus groups with interventionists and leadership characterized themes for primary dashboard goals, interface and technology needs, and data collection expectations. Four contextual inquiry sessions with interventionists characterized user goals, barriers, and standardized user workflows. We articulated a sequential discovery process for user requirements that can be replicated in dashboard design for future remote service delivery programs that will rely on sensor data and telehealth visits.</p>","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"182-191"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144144501","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信