Zobrazeno 1 - 10
of 516
pro vyhledávání: '"Roy A. Campbell"'
Autor:
Anant Dadu, Vipul Satone, Rachneet Kaur, Sayed Hadi Hashemi, Hampton Leonard, Hirotaka Iwaki, Mary B. Makarious, Kimberley J. Billingsley, Sara Bandres‐Ciga, Lana J. Sargent, Alastair J. Noyce, Ali Daneshmand, Cornelis Blauwendraat, Ken Marek, Sonja W. Scholz, Andrew B. Singleton, Mike A. Nalls, Roy H. Campbell, Faraz Faghri
Publikováno v:
npj Parkinson's Disease, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract The clinical manifestations of Parkinson’s disease (PD) are characterized by heterogeneity in age at onset, disease duration, rate of progression, and the constellation of motor versus non-motor features. There is an unmet need for the cha
Externí odkaz:
https://doaj.org/article/554c29a9a6ee40e0bc8913586c21005e
Autor:
Anant Dadu, Vipul K. Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri
Publikováno v:
Patterns, Vol 4, Iss 6, Pp 100741- (2023)
Summary: High-dimensional data analysis starts with projecting the data to low dimensions to visualize and understand the underlying data structure. Several methods have been developed for dimensionality reduction, but they are limited to cross-secti
Externí odkaz:
https://doaj.org/article/ad52d417db9a4335834e045b65448695
Autor:
Mary B. Makarious, Hampton L. Leonard, Dan Vitale, Hirotaka Iwaki, Lana Sargent, Anant Dadu, Ivo Violich, Elizabeth Hutchins, David Saffo, Sara Bandres-Ciga, Jonggeol Jeff Kim, Yeajin Song, Melina Maleknia, Matt Bookman, Willy Nojopranoto, Roy H. Campbell, Sayed Hadi Hashemi, Juan A. Botia, John F. Carter, David W. Craig, Kendall Van Keuren-Jensen, Huw R. Morris, John A. Hardy, Cornelis Blauwendraat, Andrew B. Singleton, Faraz Faghri, Mike A. Nalls
Publikováno v:
npj Parkinson's Disease, Vol 8, Iss 1, Pp 1-13 (2022)
Abstract Personalized medicine promises individualized disease prediction and treatment. The convergence of machine learning (ML) and available multimodal data is key moving forward. We build upon previous work to deliver multimodal predictions of Pa
Externí odkaz:
https://doaj.org/article/bf993193034245da8c1471e3cf972739
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218942 (2019)
BackgroundUnplanned readmission of a hospitalized patient is an indicator of patients' exposure to risk and an avoidable waste of medical resources. In addition to hospital readmission, intensive care unit (ICU) readmission brings further financial r
Externí odkaz:
https://doaj.org/article/2096a3fa173d4f4fa8f20da1849f3157
Autor:
Sayantani Basu, Roy H. Campbell
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783031020629
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b9ecdf991ab79b37e4643fd2d3734b
https://doi.org/10.1007/978-3-031-02063-6_19
https://doi.org/10.1007/978-3-031-02063-6_19
Autor:
Sayantani Basu, Roy H. Campbell
Various learning models distinguish between an electroencephalogram (EEG) record of a normal patient and one having a seizure. In this paper, we propose a deep-learning based short-term memory (LSTM) model to identify whether an EEG record belongs to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1370a3ac2e0f77d4602e9d71a3a2821
https://doi.org/10.1101/2022.06.15.22276461
https://doi.org/10.1101/2022.06.15.22276461
Autor:
Sayantani, Basu, Roy H, Campbell
Publikováno v:
Studies in health technology and informatics. 290
The COVID-19 pandemic has caused millions of infections and deaths worldwide in an ongoing pandemic. With the passage of time, several variants of this virus have surfaced. Machine learning methods and algorithms have been very useful in understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::24c5bf3b2ee4549ab9eadfa4774638a5
https://pubmed.ncbi.nlm.nih.gov/35673106
https://pubmed.ncbi.nlm.nih.gov/35673106
Autor:
Sayantani Basu, Roy H. Campbell
The COVID-19 pandemic has caused millions of infections and deaths worldwide in an ongoing pandemic. With the passage of time, several variants of this virus have surfaced. Machine learning methods and algorithms have been very useful in understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b92027bd3e6eec12075c3ea3fbd618c
https://doi.org/10.3233/shti220167
https://doi.org/10.3233/shti220167
Autor:
Jennifer Petrie, Madina Hasan, Frank Hopfgartner, Steve Goodacre, Roy H. Campbell, Peter A. Bath, Fiona Bell, Laura Sutton, Richard Pilbery, Tony Stone, Ben Thomas, Katie Biggs, Janette Turner, Carl Marincowitz, Suvodeep Mazumdar
Publikováno v:
medRxiv
BackgroundTools proposed to triage patient acuity in COVID-19 infection have only been validated in hospital populations. We estimated the accuracy of five risk-stratification tools recommended to predict severe illness and compared accuracy to exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca68224365d1daa47017d56243df7a40
https://eprints.whiterose.ac.uk/184000/1/emermed-2021-211934.full.pdf
https://eprints.whiterose.ac.uk/184000/1/emermed-2021-211934.full.pdf
Autor:
Anant Dadu, Vipul K. Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B Singleton, Roy H Campbell, Mike A Nalls, Faraz Faghri
Publikováno v:
SSRN Electronic Journal.
Longitudinal multi-dimensional biological datasets are ubiquitous and highly abundant. These datasets are essential to understanding disease progression, identifying subtypes, and drug discovery. Discovering meaningful patterns or disease pathophysio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbb01592ed132a4175e2bbcd070d13d
https://doi.org/10.2139/ssrn.4292603
https://doi.org/10.2139/ssrn.4292603