Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Samuel J Weisenthal"'
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0204920 (2018)
Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing studies con
Externí odkaz:
https://doaj.org/article/1ae1c44887e54ec8b119dd04f10c2635
Publikováno v:
Archives of Pathology & Laboratory Medicine. 147:94-99
Context.— Intraductal carcinoma of the prostate (IDC-P) is considered a distinct form of aggressive prostate cancer where comedonecrosis, a grade 5 pattern, is occasionally present. Meanwhile, assigning a Gleason grade to IDC-P remains controversia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eda92fa34d0a3e0679c209cd4bfb8f61
https://doi.org/10.5858/arpa.2021-0346-oa
https://doi.org/10.5858/arpa.2021-0346-oa
Autor:
Samuel Weisenthal, Samuel J. Weisenthal, Caroline Quill, Jiebo Luo, Henry Kautz, Samir Farooq, Martin Zand
Publikováno v:
Journal of Clinical and Translational Science, Vol 1, Pp 17-18 (2017)
OBJECTIVES/SPECIFIC AIMS: Our objective was to develop and evaluate a machine learning pipeline that uses electronic health record (EHR) data to predict acute kidney injury (AKI) during rehospitalization for patients who did not have an AKI episode i
Externí odkaz:
https://doaj.org/article/02821db5ab9745af8e41d1579375ae38
Autor:
Kristen Bush, Ekaterina I. Noyes, Martin S. Zand, Gourab Ghoshal, Samir A. Farooq, Melissa Trayhan, Samuel J. Weisenthal, Hugo Barbosa, Robert J. White
Publikováno v:
Infection Control & Hospital Epidemiology. 40:1380-1386
Objective:To examine the relationship between unit-wide Clostridium difficile infection (CDI) susceptibility and inpatient mobility and to create contagion centrality as a new predictive measure of CDI.Design:Retrospective cohort study.Methods:A mobi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f93d2ac9c502105ef8976dac03fed5a1
https://doi.org/10.1017/ice.2019.288
https://doi.org/10.1017/ice.2019.288
Autor:
Kristen, Bush, Hugo, Barbosa, Samir, Farooq, Samuel J, Weisenthal, Melissa, Trayhan, Robert J, White, Ekaterina I, Noyes, Gourab, Ghoshal, Martin S, Zand
Publikováno v:
Infection control and hospital epidemiology. 40(12)
To examine the relationship between unit-wide Clostridium difficile infection (CDI) susceptibility and inpatient mobility and to create contagion centrality as a new predictive measure of CDI.Retrospective cohort study.A mobility network was construc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8f73ef02d5bc649e45937825c516397e
https://pubmed.ncbi.nlm.nih.gov/31656216
https://pubmed.ncbi.nlm.nih.gov/31656216
Autor:
Samir A. Farooq, Gourab Ghoshal, Martin S. Zand, Kristen Bush, Melissa Trayhan, Samuel J. Weisenthal, Robert J. White, Hugo Barbosa
With hospital-onset Clostridium difficile Infection (CDI) still a common occurrence in the U.S., this paper examines the relationship between unit-wide CDI susceptibility and inpatient mobility and creates a predictive measure of CDI called “Contag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1afea24437e02211fa345a46be904c55
Autor:
Samir A. Farooq, Martin S. Zand, Lisa A. Nelson, Samuel J. Weisenthal, Christopher F. Fucile, Alexander F. Rosenberg, Melissa Trayhan, Kristen Bush, Caroline M. Quill, Robert J. White
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-19 (2018)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods. Methods Using publicly available Medicare Part D claims data, we identified and v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c5fda9cb827d57cea13e15245fb17d
https://doi.org/10.7287/peerj.preprints.3470v1
https://doi.org/10.7287/peerj.preprints.3470v1
Autor:
Samuel J. Weisenthal, Jiebo Luo, Martin S. Zand, Henry Kautz, Samir A. Farooq, Caroline M. Quill
Publikováno v:
Journal of Clinical and Translational Science. 1:17-18
OBJECTIVES/SPECIFIC AIMS: Our objective was to develop and evaluate a machine learning pipeline that uses electronic health record (EHR) data to predict acute kidney injury (AKI) during rehospitalization for patients who did not have an AKI episode i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bec5eec3a3d854d03638e724002e237
https://doi.org/10.1017/cts.2017.75
https://doi.org/10.1017/cts.2017.75
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0204920 (2018)
PLoS ONE
PLoS ONE
Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing studies con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63cafe3c58e159656429bd6f1b6bb20
https://doi.org/10.1371/journal.pone.0204920
https://doi.org/10.1371/journal.pone.0204920
Autor:
Samir A. Farooq, Melissa Trayhan, Peter Mariuz, Robert J. White, Samuel J. Weisenthal, Kristen Bush, Martin S. Zand
Publikováno v:
F1000Research. 7:1144
HIV RNA viral load (VL) is an important outcome variable in studies of HIV infected persons. There exists only a handful of methods which classify patients by VL patterns. Most methods place limits on the use of viral load measurements, are often spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5e9fbedb51756fa2e14fcb542549e0
https://doi.org/10.12688/f1000research.15591.1
https://doi.org/10.12688/f1000research.15591.1