Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Ross A, Williams"'
Autor:
Luis H. John, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Ross D. Williams, Patrick B. Ryan, Peter R. Rijnbeek
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background A prediction model can be a useful tool to quantify the risk of a patient developing dementia in the next years and take risk-factor-targeted intervention. Numerous dementia prediction models have been developed, but few have been
Externí odkaz:
https://doaj.org/article/fc208c44b82f4bab9139744e5d70852e
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Background Prognostic models that are accurate could help aid medical decision making. Large observational databases often contain temporal medical data for large and diverse populations of patients. It may be possible to learn prognostic mo
Externí odkaz:
https://doaj.org/article/03646020bbc9442bbe82528cc6ce723a
Autor:
Ross D. Williams, Aniek F. Markus, Cynthia Yang, Talita Duarte-Salles, Scott L. DuVall, Thomas Falconer, Jitendra Jonnagaddala, Chungsoo Kim, Yeunsook Rho, Andrew E. Williams, Amanda Alberga Machado, Min Ho An, María Aragón, Carlos Areia, Edward Burn, Young Hwa Choi, Iannis Drakos, Maria Tereza Fernandes Abrahão, Sergio Fernández-Bertolín, George Hripcsak, Benjamin Skov Kaas-Hansen, Prasanna L. Kandukuri, Jan A. Kors, Kristin Kostka, Siaw-Teng Liaw, Kristine E. Lynch, Gerardo Machnicki, Michael E. Matheny, Daniel Morales, Fredrik Nyberg, Rae Woong Park, Albert Prats-Uribe, Nicole Pratt, Gowtham Rao, Christian G. Reich, Marcela Rivera, Tom Seinen, Azza Shoaibi, Matthew E. Spotnitz, Ewout W. Steyerberg, Marc A. Suchard, Seng Chan You, Lin Zhang, Lili Zhou, Patrick B. Ryan, Daniel Prieto-Alhambra, Jenna M. Reps, Peter R. Rijnbeek
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background We investigated whether we could use influenza data to develop prediction models for COVID-19 to increase the speed at which prediction models can reliably be developed and validated early in a pandemic. We developed COVID-19 Esti
Externí odkaz:
https://doaj.org/article/da152b2f9d8848c687fd69d67eb875e5
Publikováno v:
Geoscience Letters, Vol 7, Iss 1, Pp 1-13 (2020)
Abstract The use of infrasound for the early detection of volcanic events has been shown to be effective over large distances, and unlike visual methods, is not weather dependent. Signals recorded via an infrasound array often have a poor signal to n
Externí odkaz:
https://doaj.org/article/3c811752cd494326b5f772c91b594080
Autor:
Jenna M. Reps, Ross D. Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B. Ryan, Rae Woong Park, Hong-Seok Lim, Peter Rijnbeek
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models by enabling validati
Externí odkaz:
https://doaj.org/article/e899d8f5ba2e4f9f87c37127f7a75bb0
Publikováno v:
The Journal of Physiology. 601:1175-1177
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e4225c99dd6e742d7b6c9e299ad4f67
https://doi.org/10.1113/jp284288
https://doi.org/10.1113/jp284288
Autor:
Qiong Wang, Jenna M Reps, Kristin Feeney Kostka, Patrick B Ryan, Yuhui Zou, Erica A Voss, Peter R Rijnbeek, RuiJun Chen, Gowtham A Rao, Henry Morgan Stewart, Andrew E Williams, Ross D Williams, Mui Van Zandt, Thomas Falconer, Margarita Fernandez-Chas, Rohit Vashisht, Stephen R Pfohl, Nigam H Shah, Suranga N Kasthurirathne, Seng Chan You, Qing Jiang, Christian Reich, Yi Zhou
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0226718 (2020)
Background and purposeHemorrhagic transformation (HT) after cerebral infarction is a complex and multifactorial phenomenon in the acute stage of ischemic stroke, and often results in a poor prognosis. Thus, identifying risk factors and making an earl
Externí odkaz:
https://doaj.org/article/ea94bcef884c441dbcc5be20f2839388
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The Deposit, Evaluate and Lookup Predictive Healthcare Information (DELPHI) library provides a centralised location for the depositing, exploring and analysing of patient-level prediction models that are compatible with data mapped to the observation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c969fd9870eadae3471b960a3910c06
https://doi.org/10.3233/shti230085
https://doi.org/10.3233/shti230085
Autor:
Cynthia Yang, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Peter R. Rijnbeek, Jenna Wong, Ross D. Williams
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
We investigated a stacking ensemble method that combines multiple base learners within a database. The results on external validation across four large databases suggest a stacking ensemble could improve model transportability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fecac1f6431ba713860e8d72bfd61b0
https://doi.org/10.3233/shti230080
https://doi.org/10.3233/shti230080
Autor:
Tom M. Seinen, Egill Fridgeirsson, Solomon Ioannou, Daniel Jeannetot, Luis H. John, Jan A. Kors, Aniek F. Markus, Victor Pera, Alexandros Rekkas, Ross D. Williams, Cynthia Yang, Erik van Mulligen, Peter R. Rijnbeek
Publikováno v:
Journal of the American Medical Informatics Association, 29(7), 1292-1302. Oxford University Press
Objective This systematic review aims to assess how information from unstructured text is used to develop and validate clinical prognostic prediction models. We summarize the prediction problems and methodological landscape and determine whether usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5049d802d53face1eeddf8738f2c4799
https://doi.org/10.1093/jamia/ocac058
https://doi.org/10.1093/jamia/ocac058