Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Samuel Harford"'
Autor:
Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek, Houshang Darabi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, there remain significant
Externí odkaz:
https://doaj.org/article/e99e4965837846edba8d89c6fda4249c
Autor:
William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-18 (2021)
Abstract Background Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own models to predict outcome
Externí odkaz:
https://doaj.org/article/33d441a4fa2145288aa5b9b553d578d1
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 8:1523-1538
Classification models for multivariate time series have drawn the interest of many researchers to the field with the objective of developing accurate and efficient models. However, limited research has been conducted on generating adversarial samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::890ab78228413d8834d5dd7fe9b4dbcb
https://doi.org/10.1109/jas.2021.1004108
https://doi.org/10.1109/jas.2021.1004108
Autor:
Maryam Pishgar, William L. Galanter, Houshang Darabi, Karl M. Kochendorfer, John Zulueta, Jorge Mario Rodríguez-Fernández, Julian Theis, Kevin Chow, Samuel Harford
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-18 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own models to predict outcomes in pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724a996e0d9b81a3936c9f09f2adef13
https://doaj.org/article/33d441a4fa2145288aa5b9b553d578d1
https://doaj.org/article/33d441a4fa2145288aa5b9b553d578d1
Autor:
Samuel Harford, Somshubra Majumdar, Kim Erwin, Marina Del Rios, Houshang Darabi, Dennis P. Watson, Terry L. Vanden Hoek, Fazle Karim
Publikováno v:
Resuscitation. 138:134-140
Background Out-of-hospital cardiac arrest (OHCA) affects nearly 400,000 people each year in the United States of which only 10% survive. Using data from the Cardiac Arrest Registry to Enhance Survival (CARES), and machine learning (ML) techniques, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a51d7c6c634d08d423b1ac112a33c4bf
https://doi.org/10.1016/j.resuscitation.2019.03.012
https://doi.org/10.1016/j.resuscitation.2019.03.012
Autor:
Nadir Muzaffar, Ayis Pyrros, Oluwasanmi Koyejo, William L. Galanter, Melinda Willis, Adam E. Flanders, Paul Nikolaidis, Viveka Boddipalli, Jai Nebhrajani, Eric M. Hart, Daniel R. Wenzke, Andrew C. Chen, Jorge Mario Rodríguez-Fernández, Jeanne M. Horowitz, Patrick Cole, Samuel Harford, Nasir Siddiqui, Houshang Darabi
Publikováno v:
Academic Radiology
Rationale and Objectives The clinical prognosis of outpatients with coronavirus disease 2019 (COVID-19) remains difficult to predict, with outcomes including asymptomatic, hospitalization, intubation, and death. Here we determined the prognostic valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd06bcd9746c52a25aecf5c47f9042fc
http://europepmc.org/articles/PMC8139280
http://europepmc.org/articles/PMC8139280
Publikováno v:
Circulation. 142
Background: The lethality of out-of-hospital cardiac arrest (OHCA) among minority and low income patients in large urban centers has been extensively described. Neighborhood disparities in OHCA survival outcomes cannot be fully explained by clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ba420caba840d1f8253f02a2ec766f4
https://doi.org/10.1161/circ.142.suppl_4.256
https://doi.org/10.1161/circ.142.suppl_4.256
Publikováno v:
2018 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f02cc72a766e9d48896e5e1305b23a39
https://doi.org/10.18260/1-2--30284
https://doi.org/10.18260/1-2--30284
Autor:
Shun Chen, Houshang Darabi, Elnaz Douzali, Fazle Karim, Samuel Harford, Hereford Johnson, Anooshiravan Sharabiani
Publikováno v:
Knowledge and Information Systems. 57:359-388
Dynamic Time Warping (DTW) is a popular method for measuring the similarity of time series. It is widely used in various domains. A major drawback of DTW is that it has a high computational complexity. To address this problem, pruning techniques to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86eb6eec647f9a304c0ed5e7545b7da1
https://doi.org/10.1007/s10115-018-1163-4
https://doi.org/10.1007/s10115-018-1163-4
Autor:
Hereford Johnson, Houshang Darabi, Samuel Harford, Anooshiravan Sharabiani, Fazle Karim, Ashkan Rezaei
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 47:2688-2703
Throughout recent years, dynamic time warping (DTW) has remained as a robust similarity measure in time series classification (TSC). 1-nearest neighbor (1-NN) algorithm with DTW is the most widely used classification method on time series serving as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1d273a71a3b61c51bb99f79a8b37254
https://doi.org/10.1109/tsmc.2017.2699333
https://doi.org/10.1109/tsmc.2017.2699333