Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hsing-Yi Song"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss S4, Pp 1-11 (2024)
Abstract Background Vaccine Adverse Events ReportingSystem (VAERS) is a promising resource of tracking adverse events following immunization. Medical Dictionary for Regulatory Activities (MedDRA) terminology used for coding adverse events in VAERS re
Externí odkaz:
https://doaj.org/article/661f153dfa244464850f32ed8bdedc87
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 23-34 (2017)
Abstract Background Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of onto
Externí odkaz:
https://doaj.org/article/87cd8dcfe5f4401e8357965e4d6ac00a
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 63-70 (2017)
Abstract Background As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, esp
Externí odkaz:
https://doaj.org/article/03bb8228babd4c82ac32af5475f12ff6
Autor:
Liwei Wang, Henry W. Chen, Hongfang Liu, Mohcine Madkour, Guozheng Rao, Cui Tao, Hua Xu, Fang Li, Yongqun He, Jingcheng Du, Yang Xiang, Hsing Yi Song, Yi Luo, Sijia Liu
Publikováno v:
J Am Med Inform Assoc
Objective The goal of this study is to develop a robust Time Event Ontology (TEO), which can formally represent and reason both structured and unstructured temporal information. Materials and Methods Using our previous Clinical Narrative Temporal Rel
Autor:
Hsing-Yi Song, Melissa F. Peskin, Diane Santa Maria, J. Michael Wilkerson, Robert C. Addy, Pooja Chaudhary, Ross Shegog, Laura Armistead, Susan Tortolero Emery, Christine Markham, Sara M. Dube, Jeffery McLaughlin, Angela Spencer
Publikováno v:
JMIR Serious Games
JMIR Serious Games, Vol 9, Iss 1, p e23088 (2021)
JMIR Serious Games, Vol 9, Iss 1, p e23088 (2021)
BackgroundEarly adolescent unintended pregnancy and sexually transmitted infection prevention are significant public health challenges in the United States. Parental influence can help adolescents make responsible and informed sexual health decisions
Autor:
Ross Shegog, Laura Armistead, Christine Markham, Sara Dube, Hsing-Yi Song, Pooja Chaudhary, Angela Spencer, Melissa Peskin, Diane Santa Maria, J Michael Wilkerson, Robert Addy, Susan Tortolero Emery, Jeffery McLaughlin
BACKGROUND Early adolescent unintended pregnancy and sexually transmitted infection prevention are significant public health challenges in the United States. Parental influence can help adolescents make responsible and informed sexual health decision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::befb5f5df986fa092eeec5663bd09d2c
https://doi.org/10.2196/preprints.23088
https://doi.org/10.2196/preprints.23088
Autor:
Amith, Muhammad1, Hsing-Yi Song1, Yaoyun Zhang1, Hua Xu1, Cui Tao1 cui.tao@uth.tmc.edu, Song, Hsing-Yi1 (AUTHOR), Zhang, Yaoyun1 (AUTHOR), Xu, Hua1 (AUTHOR), Tao, Cui1 (AUTHOR)
Publikováno v:
BMC Medical Informatics & Decision Making. 7/5/2017, Vol. 17, p23-34. 12p. 2 Color Photographs, 1 Diagram, 3 Charts.
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss S2, Pp 63-70 (2017)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, especially c
Autor:
Ergin, Soysal, Jeremy L, Warner, Jingqi, Wang, Min, Jiang, Krysten, Harvey, Sandeep Kumar, Jain, Xiao, Dong, Hsing-Yi, Song, Harish, Siddhanamatha, Liwei, Wang, Qi, Dai, Qingxia, Chen, Xianglin, Du, Cui, Tao, Ping, Yang, Joshua Charles, Denny, Hongfang, Liu, Hua, Xu
Publikováno v:
Studies in health technology and informatics
Natural language processing (NLP) technologies have been successfully applied to cancer research by enabling automated phenotypic information extraction from narratives in electronic health records (EHRs) such as pathology reports; however, developin
Publikováno v:
JMIR Medical Informatics
Background: Today, there is an increasing need to centralize and standardize electronic health data within clinical research as the volume of data continues to balloon. Domain-specific common data elements (CDEs) are emerging as a standard approach t