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David Page

Showing results (141-150 of 210) with videos related to

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Journal of Biomedical Informatics|February 29, 2024
Soft phenotyping for sepsis via EHR time-aware soft clusteringShiyi Jiang, Xin Gai, Miriam M Treggiari, et al.
Autism Research : Official Journal of the International Society for Autism Research|May 8, 2018
Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorderLauren Bishop-Fitzpatrick, Arezoo Movaghar, Jan S Greenberg, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|March 27, 2021
Artificial intelligence-assisted phenotype discovery of fragile X syndrome in a population-based sampleArezoo Movaghar, David Page, Danielle Scholze, et al.
Journal of Thrombosis and Haemostasis : JTH|June 23, 2023
Hemophilia gene therapy: first, do no harmLeonard A Valentino, Radoslaw Kaczmarek, Glenn F Pierce, et al.
Journal of Thrombosis and Haemostasis : JTH|March 28, 2021
"They don't really take my bleeds seriously": Barriers to care for women with inherited bleeding disordersSumedha Arya, Pamela Wilton, David Page, et al.
JMIR Medical Informatics|December 10, 2017
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network AdventureAhmad P Tafti, Jonathan Badger, Eric LaRose, et al.
Journal of Thrombosis and Haemostasis : JTH|September 26, 2020
"Everything was blood when it comes to me": Understanding the lived experiences of women with inherited bleeding disordersSumedha Arya, Pamela Wilton, David Page, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
Knowledge discovery from structured mammography reports using inductive logic programmingElizabeth S Burnside, Jesse Davis, Victor Santos Costa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Predicting atrial fibrillation and flutter using electronic health recordsShreyas Karnik, Sin Lam Tan, Bess Berg, et al.
Journal of Biomedical Informatics|July 23, 2014
Relational machine learning for electronic health record-driven phenotypingPeggy L Peissig, Vitor Santos Costa, Michael D Caldwell, et al.
Pageof 21

Showing results (141-150 of 210) with videos related to

Sort By:
Pageof 21
Journal of Biomedical Informatics|February 29, 2024
Soft phenotyping for sepsis via EHR time-aware soft clusteringShiyi Jiang, Xin Gai, Miriam M Treggiari, et al.
Autism Research : Official Journal of the International Society for Autism Research|May 8, 2018
Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorderLauren Bishop-Fitzpatrick, Arezoo Movaghar, Jan S Greenberg, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|March 27, 2021
Artificial intelligence-assisted phenotype discovery of fragile X syndrome in a population-based sampleArezoo Movaghar, David Page, Danielle Scholze, et al.
Journal of Thrombosis and Haemostasis : JTH|June 23, 2023
Hemophilia gene therapy: first, do no harmLeonard A Valentino, Radoslaw Kaczmarek, Glenn F Pierce, et al.
Journal of Thrombosis and Haemostasis : JTH|March 28, 2021
"They don't really take my bleeds seriously": Barriers to care for women with inherited bleeding disordersSumedha Arya, Pamela Wilton, David Page, et al.
JMIR Medical Informatics|December 10, 2017
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network AdventureAhmad P Tafti, Jonathan Badger, Eric LaRose, et al.
Journal of Thrombosis and Haemostasis : JTH|September 26, 2020
"Everything was blood when it comes to me": Understanding the lived experiences of women with inherited bleeding disordersSumedha Arya, Pamela Wilton, David Page, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
Knowledge discovery from structured mammography reports using inductive logic programmingElizabeth S Burnside, Jesse Davis, Victor Santos Costa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Predicting atrial fibrillation and flutter using electronic health recordsShreyas Karnik, Sin Lam Tan, Bess Berg, et al.
Journal of Biomedical Informatics|July 23, 2014
Relational machine learning for electronic health record-driven phenotypingPeggy L Peissig, Vitor Santos Costa, Michael D Caldwell, et al.
Pageof 21