Zobrazeno 1 - 4
of 4
pro vyhledávání: '"W. Katherine Tan"'
Autor:
W. Katherine Tan, Brian D. Segal, Melissa D. Curtis, Shrujal S. Baxi, William B. Capra, Elizabeth Garrett-Mayer, Brian P. Hobbs, David S. Hong, Rebecca A. Hubbard, Jiawen Zhu, Somnath Sarkar, Meghna Samant
Publikováno v:
Contemporary Clinical Trials Communications, Vol 30, Iss , Pp 101000- (2022)
Background: Hybrid controlled trials with real-world data (RWD), where the control arm is composed of both trial and real-world patients, could facilitate research when the feasibility of randomized controlled trials (RCTs) is challenging and single-
Externí odkaz:
https://doaj.org/article/55c43bce2efa4cd8a8dc5818e59052f3
Autor:
W. Katherine Tan, Patrick J. Heagerty
Publikováno v:
Biostatistics. 23:345-361
Summary Scalable and accurate identification of specific clinical outcomes has been enabled by machine-learning applied to electronic medical record systems. The development of classification models requires the collection of a complete labeled data
Autor:
Nancy Organ, Patrick J. Heagerty, W. Katherine Tan, Brent Griffith, Hannu Huhdanpaa, Kathryn T. James, David R. Nerenz, David Carrell, Saeed Hassanpour, Pradeep Suri, Sean D. Rundell, Eric N. Meier, David F. Kallmes, Karen J. Sherman, Curtis P. Langlotz, Jeffrey G. Jarvik, Patrick H. Luetmer
Rationale and Objectives To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc6c125078a8978c95a5f718bec5db0e
https://europepmc.org/articles/PMC6162177/
https://europepmc.org/articles/PMC6162177/
Autor:
W. Katherine Tan, Nancy Organ, Karen J. Sherman, Srdjan S. Nedeljkovic, Brent Griffith, Hannu Huhdanpaa, Falgun H. Chokshi, Sean D. Rundell, Pradeep Suri, Bryan A. Comstock, Kathryn T. James, David R. Nerenz, Patrick J. Heagerty, Andrew L. Avins, Jeffrey G. Jarvik, Patrick H. Luetmer, Saeed Hassanpour, David F. Kallmes, David Carrell, Curtis P. Langlotz
Publikováno v:
Journal of digital imaging. 31(1)
Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and clinical research. Harnessing the full potential of the EMR requires scalable approaches such as nat