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Zahra Shakeri Hossein Abad

Showing results (1-10 of 20) 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|December 11, 2021
Detecting Uncertainty of Mortality Prediction Using Confident LearningZahra Shakeri Hossein Abad, Joon Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination IndicesZahra Shakeri Hossein Abad, Adrienne Kline, Joon Lee
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Predicting Discharge Destination of Critically Ill Patients Using Machine LearningZahra Shakeri Hossein Abad, David M Maslove, Joon Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality PredictionAdrienne Kline, Theresa Kline, Zahra Shakeri Hossein Abad, et al.
Journal of Medical Internet Research|September 25, 2020
Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based ApproachAdrienne Kline, Theresa Kline, Zahra Shakeri Hossein Abad, et al.
Journal of Medical Internet Research|January 18, 2022
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical TurkZahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, et al.
JMIR Public Health and Surveillance|February 14, 2022
Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance ResearchZahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, et al.
NPJ Digital Medicine|April 4, 2023
Predicting patient decompensation from continuous physiologic monitoring in the emergency departmentSameer Sundrani, Julie Chen, Boyang Tom Jin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome PredictionsMohammad Noaeen, Somayeh Amini, Shveta Bhasker, et al.
Nature|April 12, 2023
Foundation models for generalist medical artificial intelligenceMichael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Detecting Uncertainty of Mortality Prediction Using Confident LearningZahra Shakeri Hossein Abad, Joon Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination IndicesZahra Shakeri Hossein Abad, Adrienne Kline, Joon Lee
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Predicting Discharge Destination of Critically Ill Patients Using Machine LearningZahra Shakeri Hossein Abad, David M Maslove, Joon Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality PredictionAdrienne Kline, Theresa Kline, Zahra Shakeri Hossein Abad, et al.
Journal of Medical Internet Research|September 25, 2020
Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based ApproachAdrienne Kline, Theresa Kline, Zahra Shakeri Hossein Abad, et al.
Journal of Medical Internet Research|January 18, 2022
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical TurkZahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, et al.
JMIR Public Health and Surveillance|February 14, 2022
Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance ResearchZahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, et al.
NPJ Digital Medicine|April 4, 2023
Predicting patient decompensation from continuous physiologic monitoring in the emergency departmentSameer Sundrani, Julie Chen, Boyang Tom Jin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome PredictionsMohammad Noaeen, Somayeh Amini, Shveta Bhasker, et al.
Nature|April 12, 2023
Foundation models for generalist medical artificial intelligenceMichael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, et al.
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