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Biodata Mining
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August 31, 2012
An automated framework for hypotheses generation using literature
Vida Abedi, Ramin Zand, Mohammed Yeasin, et al.
Journal of Clinical Medicine
|
April 9, 2024
Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura, Alireza Vafaei Sadr, Vida Abedi, et al.
The American Journal of Medicine
|
February 3, 2019
Artificial Intelligence Transforms the Future of Health Care
Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang, et al.
Journal of Critical Care
|
July 12, 2024
Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients
Elie Sarraf, Alireza Vafaei Sadr, Vida Abedi, et al.
Frontiers in Neurology
|
April 19, 2021
Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients
Negar Darabi, Niyousha Hosseinichimeh, Anthony Noto, et al.
Frontiers in Neurology
|
August 8, 2022
Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Vida Abedi, Yuki Kawamura, Jiang Li, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 7, 2025
Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis
Ahad Khaleghi Ardabili, Alireza Vafaei Sadr, Vida Abedi, et al.
Frontiers in Nutrition
|
December 18, 2018
Challenges in Personalized Nutrition and Health
Meghna Verma, Raquel Hontecillas, Nuria Tubau-Juni, et al.
Journal of Clinical Medicine
|
September 28, 2021
"Lessons Learned" Preventing Recurrent Ischemic Strokes through Secondary Prevention Programs: A Systematic Review
Clare McGarvey Lambert, Oluwaseyi Olulana, Lisa Bailey-Davis, et al.
Therapeutic Advances in Neurological Disorders
|
February 7, 2022
Intravenous thrombolysis in ischemic stroke patients with a prior intracranial hemorrhage: a meta-analysis
Mahsa Dolatshahi, Mohammadmahdi Sabahi, Shima Shahjouei, et al.
Page
of 13
Search research articles
Search
Showing results (11-20 of 122) with videos related to
Sort By:
Page
of 13
Biodata Mining
|
August 31, 2012
An automated framework for hypotheses generation using literature
Vida Abedi, Ramin Zand, Mohammed Yeasin, et al.
Journal of Clinical Medicine
|
April 9, 2024
Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura, Alireza Vafaei Sadr, Vida Abedi, et al.
The American Journal of Medicine
|
February 3, 2019
Artificial Intelligence Transforms the Future of Health Care
Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang, et al.
Journal of Critical Care
|
July 12, 2024
Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients
Elie Sarraf, Alireza Vafaei Sadr, Vida Abedi, et al.
Frontiers in Neurology
|
April 19, 2021
Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients
Negar Darabi, Niyousha Hosseinichimeh, Anthony Noto, et al.
Frontiers in Neurology
|
August 8, 2022
Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Vida Abedi, Yuki Kawamura, Jiang Li, et al.
Medrxiv : the Preprint Server for Health Sciences
|
January 7, 2025
Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis
Ahad Khaleghi Ardabili, Alireza Vafaei Sadr, Vida Abedi, et al.
Frontiers in Nutrition
|
December 18, 2018
Challenges in Personalized Nutrition and Health
Meghna Verma, Raquel Hontecillas, Nuria Tubau-Juni, et al.
Journal of Clinical Medicine
|
September 28, 2021
"Lessons Learned" Preventing Recurrent Ischemic Strokes through Secondary Prevention Programs: A Systematic Review
Clare McGarvey Lambert, Oluwaseyi Olulana, Lisa Bailey-Davis, et al.
Therapeutic Advances in Neurological Disorders
|
February 7, 2022
Intravenous thrombolysis in ischemic stroke patients with a prior intracranial hemorrhage: a meta-analysis
Mahsa Dolatshahi, Mohammadmahdi Sabahi, Shima Shahjouei, et al.
Page
of 13