Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lyudmila Ena"'
Autor:
Lynn Petukhova, Nana Ekua Adenu-Mensah, Ning Shang, Lyudmila Ena, Carol Friedman, Chunhua Weng, Eric W. Schrimshaw
Publikováno v:
Journal of Clinical and Translational Science, Vol 4, Pp 112-112 (2020)
OBJECTIVES/GOALS: There is an imperative need to initiate translational genetic studies of hidradenitis suppurativa (HS). Such work requires large cohorts and no HS registries exist. Precision medicine initiatives provide new resources and methods fo
Externí odkaz:
https://doaj.org/article/ef437178718e4c49be7d78ecab980084
Autor:
Alex Butler, Shing M Lee, Jae Hyun Kim, Latoya A. Stewart, Hao Liu, Chunhua Weng, Cynthia Sung, Casey N. Ta, Cong Liu, Anna Ostropolets, Lyudmila Ena, Patrick B. Ryan, Mitchell S.V. Elkind, Junghwan Lee, James R. Rogers
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association
Objective This research aims to evaluate the impact of eligibility criteria on recruitment and observable clinical outcomes of COVID-19 clinical trials using electronic health record (EHR) data. Materials and Methods On June 18, 2020, we identified f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ade6631e3948c3b1996074bdc7992e5c
https://doi.org/10.1093/jamia/ocaa276
https://doi.org/10.1093/jamia/ocaa276
Autor:
James R. Rogers, Alex Butler, Feichen Shen, Ziran Li, Casey N. Ta, Cong Liu, Liwei Wang, Ning Shang, Carol Friedman, Junghwan Lee, Hongfang Liu, Fabricio Sampaio Peres Kury, Lyudmila Ena, Chunhua Weng
Publikováno v:
J Biomed Inform
BACKGROUND: Manually curating standardized phenotypic concepts such as Human Phenotype Ontology (HPO) terms from narrative text in electronic health records (EHRs) is time consuming and error prone. Natural language processing (NLP) techniques can fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aebfc120b77680d36e461173779350e
https://europepmc.org/articles/PMC6899194/
https://europepmc.org/articles/PMC6899194/
Autor:
Eric W. Schrimshaw, Nana Ekua Adenu-Mensah, Lynn Petukhova, Lyudmila Ena, Chunhua Weng, Ning Shang, Carol Friedman
Publikováno v:
Journal of Clinical and Translational Science. 4:112-112
OBJECTIVES/GOALS: There is an imperative need to initiate translational genetic studies of hidradenitis suppurativa (HS). Such work requires large cohorts and no HS registries exist. Precision medicine initiatives provide new resources and methods fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05543bf1a28ac0605571bdfee29934c6
https://doi.org/10.1017/cts.2020.341
https://doi.org/10.1017/cts.2020.341
Autor:
Emily E. Groopman, Liwei Wang, Hongfang Liu, Ali G. Gharavi, Chi Yuan, Krzysztof Kiryluk, Maddalena Marasa, George Hripcsak, Feichen Shen, Jung H. Son, Gangcai Xie, Ziran Li, Lyudmila Ena, Lulin Huang, Andrew Goldstein, Kai Wang, Carol Friedman, Chunhua Weng, Wendy K. Chung, Karla Mehl
Integration of detailed phenotype information with genetic data is well established to facilitate accurate diagnosis of hereditary disorders. As a rich source of phenotype information, electronic health records (EHRs) promise to empower diagnostic va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::628728608439b281015d0ef66e92683a
https://europepmc.org/articles/PMC6035281/
https://europepmc.org/articles/PMC6035281/
Publikováno v:
Clinical pharmacology and therapeutics. 92(2)
Electronic health records (EHRs) are an important source of data for detection of adverse drug reactions (ADRs). However, adverse events are frequently due not to medications but to the patients' underlying conditions. Mining to detect ADRs from EHR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9277bc357901560f2e563b80b6769cfb
https://pubmed.ncbi.nlm.nih.gov/22713699
https://pubmed.ncbi.nlm.nih.gov/22713699