Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Thomas A, Lasko"'
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract The rising popularity of artificial intelligence in healthcare is highlighting the problem that a computational model achieving super-human clinical performance at its training sites may perform substantially worse at new sites. In this pers
Externí odkaz:
https://doaj.org/article/71b6d1f4d08f4b42be8fcc16a1f99077
Autor:
Rebecca T. Levinson, Nataraja Sarma Vaitinidin, Eric Farber-Eger, Dan M. Roden, Thomas A. Lasko, Quinn S. Wells, Jonathan D. Mosley
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Heart failure (HF) has no cure and, for HF with preserved ejection fraction (HFpEF), no life-extending treatments. Defining the clinical epidemiology of HF could facilitate earlier identification of high-risk individuals. We define the clini
Externí odkaz:
https://doaj.org/article/16365d18d17547e3b97bbedbf892776a
Autor:
Yaping Shi, John A. Graves, Shawn P. Garbett, Zilu Zhou, Ramya Marathi, Xiaoming Wang, Frank E. Harrell, Thomas A. Lasko, Joshua C. Denny, Dan M. Roden, Josh F. Peterson, Jonathan S. Schildcrout
Publikováno v:
MDM Policy & Practice, Vol 4 (2019)
We discuss a decision-theoretic approach to building a panel-based, preemptive genotyping program. The method is based on findings that a large percentage of patients are prescribed medications that are known to have pharmacogenetic associations, and
Externí odkaz:
https://doaj.org/article/f4a012ef6a4b4c1b9715d6532a43eeb6
Autor:
Candace D. McNaughton, Jonathan E. Schmitz, Thomas A. Lasko, Carl Hirschie Johnson, Nicholas M. Adams, Michael J. Ward
Publikováno v:
J Biol Rhythms
False negative tests for SARS-CoV-2 are common and have important public health and medical implications. We tested the hypothesis of diurnal variation in viral shedding by assessing the proportion of positive versus negative SARS-CoV-2 reverse trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21d14640b748d55c90542623a8e0ea40
https://doi.org/10.1177/07487304211051841
https://doi.org/10.1177/07487304211051841
Autor:
Eric V. Strobl, Thomas A. Lasko
Complex diseases are caused by a multitude of factors that may differ between patients. As a result, hypothesis tests comparing all patients to all healthy controls can detect many significant variables with inconsequential effect sizes. A few highly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d6098b93c983aca6c7f3c9eb782aef7
http://arxiv.org/abs/2205.11627
http://arxiv.org/abs/2205.11627
Autor:
Riqiang Gao, Thomas Li, Yucheng Tang, Kaiwen Xu, Mirza Khan, Michael Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
Publikováno v:
Computers in biology and medicine. 150
Patients with indeterminate pulmonary nodules (IPN) with an intermediate to a high probability of lung cancer generally undergo invasive diagnostic procedures. Chest computed tomography image and clinical data have been in estimating the pretest prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b4d5400387556a3643d205a9cbc42a
https://pubmed.ncbi.nlm.nih.gov/36198225
https://pubmed.ncbi.nlm.nih.gov/36198225
Publikováno v:
J Am Med Inform Assoc
Objective Simulating electronic health record data offers an opportunity to resolve the tension between data sharing and patient privacy. Recent techniques based on generative adversarial networks have shown promise but neglect the temporal aspect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25468aecb8b3bd3e010cfc268ce6e7a8
https://doi.org/10.1093/jamia/ocaa262
https://doi.org/10.1093/jamia/ocaa262
Autor:
Laurie L. Novak, Jonathan P. Wanderer, David A. Owens, Daniel Fabbri, Thomas A. Lasko, Julian Z. Genkins
Publikováno v:
Appl Clin Inform
Background Suboptimal information display in electronic health records (EHRs) is a notorious pain point for users. Designing an effective display is difficult, due in part to the complex and varied nature of clinical practice.Objective This article a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed228f423a8010acb2ab799a8b75464d
https://doi.org/10.1055/s-0040-1716746
https://doi.org/10.1055/s-0040-1716746
Autor:
Julian Genkins, Thomas A. Lasko
Publikováno v:
Journal of Clinical and Translational Science, Vol 1, Pp 16-17 (2017)
OBJECTIVES/SPECIFIC AIMS: Our goal is to explore the value of learning algorithms to improve both the efficiency and accuracy of a clinician undertaking the cognitive task of selecting the best resuscitative intervention for a hemodynamically unstabl
Externí odkaz:
https://doaj.org/article/0e92ff7bd54a41acacfe90480319735e
Autor:
Colin B, Hansen, Vishwesh, Nath, Riqiang, Gao, Camilo, Bermudez, Yuankai, Huo, Kim L, Sandler, Pierre P, Massion, Jeffrey D, Blume, Thomas A, Lasko, Bennett A, Landman
Publikováno v:
Lect Notes Monogr Ser
Semi-supervised methods have an increasing impact on computer vision tasks to make use of scarce labels on large datasets, yet these approaches have not been well translated to medical imaging. Of particular interest, the MixMatch method achieves sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5d16cf96010689d777d026975808af08
https://pubmed.ncbi.nlm.nih.gov/34456459
https://pubmed.ncbi.nlm.nih.gov/34456459