Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Vijay S Nori"'
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0236400 (2020)
This study investigates the use of deep learning methods to improve the accuracy of a predictive model for dementia, and compares the performance to a traditional machine learning model. With sufficient accuracy the model can be deployed as a first r
Externí odkaz:
https://doaj.org/article/c245df47c0ce43a894f8d1833da21a02
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0203246 (2019)
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized tha
Externí odkaz:
https://doaj.org/article/3dcd00da34b84ea3a078156c7b24df66
Autor:
Farrokh, Alemi, Hua, Min, Melanie, Yousefi, Laura K, Becker, Christopher A, Hane, Vijay S, Nori, William H, Crown
Publikováno v:
Cureus.
The study reports the construction of a cohort used to study the effectiveness of antidepressants.The cohort includes experiences of 3,678,082 patients with depression in the United States on antidepressants between January 1, 2001, and December 31,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9e9c796a2fe622c13b1b4968087ba3
https://doi.org/10.7759/cureus.29884
https://doi.org/10.7759/cureus.29884
Publikováno v:
Applied Sciences; Volume 12; Issue 3; Pages: 1479
Applied Sciences, Vol 12, Iss 1479, p 1479 (2022)
Applied Sciences, Vol 12, Iss 1479, p 1479 (2022)
For patients with rare comorbidities, there are insufficient observations to accurately estimate the effectiveness of treatment. At the same time, all diagnosis, including rare diagnosis, are part of the International Classification of Disease (ICD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87f35ccc3c6479751a37fa0d7b41263
Autor:
Melanie Yousefi, Hua Min, Laura K Becker, Christopher A. Hane, Vijay S. Nori, Farrokh Alemi, Janusz Wojtusiak
Publikováno v:
EClinicalMedicine
Background This study summarizes the experiences of patients, who have multiple comorbidities, with 15 mono-treated antidepressants. Methods This is a retrospective, observational, matched case control study. The cohort was organized using claims dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67e8d462137c68db5375edf364d8770
https://pubmed.ncbi.nlm.nih.gov/34877511
https://pubmed.ncbi.nlm.nih.gov/34877511
Autor:
William J. Burke, Darshak M. Sanghavi, Paul A. Bleicher, Christopher A. Hane, Vijay S. Nori, William H. Crown, Rhoda Au
Publikováno v:
Alzheimer's & Dementia : Translational Research & Clinical Interventions
Introduction The study objective was to build a machine learning model to predict incident mild cognitive impairment, Alzheimer's Disease, and related dementias from structured data using administrative and electronic health record sources. Methods A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c436edd908cbb5d12820ba5efd5a0725
https://doi.org/10.1016/j.trci.2019.10.006
https://doi.org/10.1016/j.trci.2019.10.006
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 6, p e17819 (2020)
JMIR Medical Informatics, Vol 8, Iss 6, p e17819 (2020)
Background Clinical trials need efficient tools to assist in recruiting patients at risk of Alzheimer disease and related dementias (ADRD). Early detection can also assist patients with financial planning for long-term care. Clinical notes are an imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40168772243b9f9d7b379a42e0fe08b7
http://europepmc.org/articles/PMC7301255
http://europepmc.org/articles/PMC7301255
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 9, p e0236400 (2020)
PLoS ONE, Vol 15, Iss 9, p e0236400 (2020)
This study investigates the use of deep learning methods to improve the accuracy of a predictive model for dementia, and compares the performance to a traditional machine learning model. With sufficient accuracy the model can be deployed as a first r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70139c91067ad8f2b9e2ed26af4ac1b5
https://pubmed.ncbi.nlm.nih.gov/32970677
https://pubmed.ncbi.nlm.nih.gov/32970677
BACKGROUND Clinical trials need efficient tools to assist in recruiting patients at risk of Alzheimer disease and related dementias (ADRD). Early detection can also assist patients with financial planning for long-term care. Clinical notes are an imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f07df426aa9feea39507724161a949b6
https://doi.org/10.2196/preprints.17819
https://doi.org/10.2196/preprints.17819
Publikováno v:
Health Services Research. 51:1896-1918
Objective To develop and validate a model of incident type 2 diabetes based solely on administrative data. Data Sources/Study Setting Optum Labs Data Warehouse (OLDW), a national commercial administrative dataset. Study Design HealthImpact model was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d46e0de5df8465ce6baf003a4392404b
https://doi.org/10.1111/1475-6773.12461
https://doi.org/10.1111/1475-6773.12461