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John V Guttag

Showing results (1-10 of 22) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approachJenna Wiens, John V Guttag
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A comparison of non-symmetric entropy-based classification trees and support vector machine for cardiovascular risk stratificationAnima Singh, John V Guttag
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Reducing the number of channels for an ambulatory patient-specific EEG-based epileptic seizure detector by applying recursive feature eliminationElena L Glassman, John V Guttag
Scientific Reports|October 7, 2016
Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndromeYun Liu, Benjamin M Scirica, Collin M Stultz, et al.
Science Translational Medicine|September 30, 2011
Computationally generated cardiac biomarkers for risk stratification after acute coronary syndromeZeeshan Syed, Collin M Stultz, Benjamin M Scirica, et al.
Open Forum Infectious Diseases|March 4, 2015
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficileJenna Wiens, Wayne N Campbell, Ella S Franklin, et al.
Journal of Biomedical Informatics|December 3, 2014
Incorporating temporal EHR data in predictive models for risk stratification of renal function deteriorationAnima Singh, Girish Nadkarni, Omri Gottesman, et al.
Proceedings of Machine Learning Research|September 24, 2021
Learning from Few Subjects with Large Amounts of Voice Monitoring DataJose Javier Gonzalez Ortiz, Daryush Mehta, Jarrad Van Stan, et al.
Cardiovascular Engineering (Dordrecht, Netherlands)|March 14, 2009
Spectral energy of ECG morphologic differences to predict deathZeeshan Syed, Phil Sung, Benjamin M Scirica, et al.
Medical Image Analysis|January 28, 2026
AtlasMorph: Learning conditional deformable templates for brain MRIMarianne Rakic, Andrew Hoopes, Mazdak S Abulnaga, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approachJenna Wiens, John V Guttag
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A comparison of non-symmetric entropy-based classification trees and support vector machine for cardiovascular risk stratificationAnima Singh, John V Guttag
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Reducing the number of channels for an ambulatory patient-specific EEG-based epileptic seizure detector by applying recursive feature eliminationElena L Glassman, John V Guttag
Scientific Reports|October 7, 2016
Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndromeYun Liu, Benjamin M Scirica, Collin M Stultz, et al.
Science Translational Medicine|September 30, 2011
Computationally generated cardiac biomarkers for risk stratification after acute coronary syndromeZeeshan Syed, Collin M Stultz, Benjamin M Scirica, et al.
Open Forum Infectious Diseases|March 4, 2015
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficileJenna Wiens, Wayne N Campbell, Ella S Franklin, et al.
Journal of Biomedical Informatics|December 3, 2014
Incorporating temporal EHR data in predictive models for risk stratification of renal function deteriorationAnima Singh, Girish Nadkarni, Omri Gottesman, et al.
Proceedings of Machine Learning Research|September 24, 2021
Learning from Few Subjects with Large Amounts of Voice Monitoring DataJose Javier Gonzalez Ortiz, Daryush Mehta, Jarrad Van Stan, et al.
Cardiovascular Engineering (Dordrecht, Netherlands)|March 14, 2009
Spectral energy of ECG morphologic differences to predict deathZeeshan Syed, Phil Sung, Benjamin M Scirica, et al.
Medical Image Analysis|January 28, 2026
AtlasMorph: Learning conditional deformable templates for brain MRIMarianne Rakic, Andrew Hoopes, Mazdak S Abulnaga, et al.
Pageof 3