Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Anika S, Ghosh"'
Autor:
Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch, Shawn N. Murphy, Peggy L. Peissig, Andrea H. Ramirez, Nephi Walton, Wei-Qi Wei, Luke V. Rasmussen
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Introduction Currently, one of the commonly used methods for disseminating electronic health record (EHR)-based phenotype algorithms is providing a narrative description of the algorithm logic, often accompanied by flowcharts. A challenge wi
Externí odkaz:
https://doaj.org/article/8ee69ddf0a344c46bc959566a833582c
Autor:
Rosalind Ramsey-Goldman, Theresa L Walunas, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo
Publikováno v:
Lupus Science and Medicine, Vol 8, Iss 1 (2021)
Objective Our objective was to develop algorithms to identify lupus clinical classification criteria attributes using structured data found in the electronic health record (EHR) and determine whether they could be used to describe a cohort of people
Externí odkaz:
https://doaj.org/article/db893c6e96d343e79567c5015eb36f43
Autor:
Vesna Mitrovic, Noah Forrest, Abel N. Kho, Al’ona Furmanchuck, Jennifer A. Pacheco, Kathryn L. Jackson, Anika S Ghosh, Theresa L. Walunas, Rosalind Ramsey-Goldman
Publikováno v:
Abstracts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d40166ff4c17d3a656fb1c7756303590
https://doi.org/10.1136/lupus-2021-lupus21century.75
https://doi.org/10.1136/lupus-2021-lupus21century.75
Autor:
Andy Yizhou Wu, Karen Mancera-Cuevas, Ryan Schusler, Vesna Mitrovic, Theresa L. Walunas, Abel N. Kho, Jennifer A. Pacheco, Anh H Chung, Kathryn L. Jackson, Rosalind Ramsey-Goldman, Yuan Luo, Daniel L Erickson, Anika S Ghosh
Publikováno v:
Lupus Science & Medicine
Lupus Science and Medicine, Vol 8, Iss 1 (2021)
Lupus Science and Medicine, Vol 8, Iss 1 (2021)
ObjectiveOur objective was to develop algorithms to identify lupus clinical classification criteria attributes using structured data found in the electronic health record (EHR) and determine whether they could be used to describe a cohort of people w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df9a9a95e3fb554ae68639f7777baf5
http://europepmc.org/articles/PMC8076919
http://europepmc.org/articles/PMC8076919
Autor:
Theresa L, Walunas, Anika S, Ghosh, Jennifer A, Pacheco, Kathryn L, Jackson, Anh H, Chung, Daniel L, Erickson, Karen, Mancera-Cuevas, Rosalind, Ramsey-Goldman, Abel N, Kho
Publikováno v:
Studies in health technology and informatics. 264
We developed a computable phenotype for systemic lupus erythematosus (SLE) based on the Systemic Lupus International Collaborative Clinics clinical classification criteria set for SLE. We evaluated the phenotype over registry and EHR data for the sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4159c32c3b790ef5f8d3f43c2d81eb42
https://pubmed.ncbi.nlm.nih.gov/31438184
https://pubmed.ncbi.nlm.nih.gov/31438184
Autor:
Rosalind Ramsey-Goldman, Anika S Ghosh, Abel N. Kho, Karen Mancera-Cuevas, Jennifer A. Pacheco, Anh H Chung, Daniel L Erickson, Kathryn L. Jackson, Theresa L. Walunas
Publikováno v:
Abstracts.
Background Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease with diverse manifestations that can occur over a long period of time. Electronic health record (EHR) data presents a rich source of information that can be used to unders
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::041a4a3a2ef947472ab83e00a4589489
https://doi.org/10.1136/lupus-2019-lsm.88
https://doi.org/10.1136/lupus-2019-lsm.88
Autor:
Anika S Ghosh, Kathryn L. Jackson, Rosalind Ramsey-Goldman, Daniel L Erickson, Karen Mancera-Cuevas, Theresa L. Walunas, Abel N. Kho, Anh H Chung
Publikováno v:
Big Data Analyses.
Background SLE is difficult to diagnose given diverse manifestations that occur over time and across care sites. Electronic health records (EHR) are now used in a majority of health care settings throughout the country, and present a rich source of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419154c79fd35c077c78aeedcb977f1f
https://doi.org/10.1136/lupus-2018-lsm.33
https://doi.org/10.1136/lupus-2018-lsm.33