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Parisa Rashidi

Showing results (41-50 of 130) with videos related to

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Arxiv|March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate AnalysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Scientific Reports|October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Plos One|May 28, 2016
Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative ComplicationsPaul Thottakkara, Tezcan Ozrazgat-Baslanti, Bradley B Hupf, et al.
IEEE Journal of Biomedical and Health Informatics|May 24, 2017
Transition Icons for Time-Series Visualization and Exploratory AnalysisPaul V Nickerson, Raheleh Baharloo, Amal A Wanigatunga, et al.
Pain Medicine (Malden, Mass.)|April 7, 2020
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text GenerationPatrick J Tighe, Bharadwaj Sannapaneni, Roger B Fillingim, et al.
JMIR Mhealth and Uhealth|May 3, 2021
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation StudyAnis Davoudi, Mamoun T Mardini, David Nelson, et al.
Frontiers in Digital Health|January 30, 2023
Fairness in the prediction of acute postoperative pain using machine learning modelsAnis Davoudi, Ruba Sajdeya, Ron Ison, et al.
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
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing TestAnis Davoudi, Catherine Dion, Shawna Amini, et al.
Journal of Alzheimer'S Disease : JAD|July 5, 2021
Classifying Non-Dementia and Alzheimer's Disease/Vascular Dementia Patients Using Kinematic, Time-Based, and Visuospatial Parameters: The Digital Clock Drawing TestAnis Davoudi, Catherine Dion, Shawna Amini, et al.
Scientific Reports|January 21, 2023
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networksBenjamin Shickel, Tyler J Loftus, Matthew Ruppert, et al.
Pageof 13

Showing results (41-50 of 130) with videos related to

Sort By:
Pageof 13
Arxiv|March 22, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate AnalysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Scientific Reports|October 18, 2023
Clinical courses of acute kidney injury in hospitalized patients: a multistate analysisEsra Adiyeke, Yuanfang Ren, Ziyuan Guan, et al.
Plos One|May 28, 2016
Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative ComplicationsPaul Thottakkara, Tezcan Ozrazgat-Baslanti, Bradley B Hupf, et al.
IEEE Journal of Biomedical and Health Informatics|May 24, 2017
Transition Icons for Time-Series Visualization and Exploratory AnalysisPaul V Nickerson, Raheleh Baharloo, Amal A Wanigatunga, et al.
Pain Medicine (Malden, Mass.)|April 7, 2020
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text GenerationPatrick J Tighe, Bharadwaj Sannapaneni, Roger B Fillingim, et al.
JMIR Mhealth and Uhealth|May 3, 2021
The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation in Older Adults: Validation StudyAnis Davoudi, Mamoun T Mardini, David Nelson, et al.
Frontiers in Digital Health|January 30, 2023
Fairness in the prediction of acute postoperative pain using machine learning modelsAnis Davoudi, Ruba Sajdeya, Ron Ison, et al.
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
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing TestAnis Davoudi, Catherine Dion, Shawna Amini, et al.
Journal of Alzheimer'S Disease : JAD|July 5, 2021
Classifying Non-Dementia and Alzheimer's Disease/Vascular Dementia Patients Using Kinematic, Time-Based, and Visuospatial Parameters: The Digital Clock Drawing TestAnis Davoudi, Catherine Dion, Shawna Amini, et al.
Scientific Reports|January 21, 2023
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networksBenjamin Shickel, Tyler J Loftus, Matthew Ruppert, et al.
Pageof 13