Parisa Rashidi
Orcid: 0000-0003-4530-2048
According to our database1,
Parisa Rashidi
authored at least 101 papers
between 2007 and 2024.
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Bibliography
2024
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models.
CoRR, 2024
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility.
CoRR, 2024
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.
CoRR, 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR, 2024
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study.
CoRR, 2024
CoRR, 2024
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.
CoRR, 2024
2023
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU).
CoRR, 2023
APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies.
CoRR, 2023
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status.
CoRR, 2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.
CoRR, 2023
CoRR, 2023
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing.
CoRR, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis.
CoRR, 2023
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit.
CoRR, 2023
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
Frontiers Artif. Intell., 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers Digit. Health, 2022
Frontiers Digit. Health, 2022
Fairness in the prediction of acute postoperative pain using machine learning models.
Frontiers Digit. Health, 2022
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units.
CoRR, 2022
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture.
CoRR, 2022
Artif. Intell. Rev., 2022
2021
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU.
Frontiers Digit. Health, 2021
Frontiers Digit. Health, 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers.
CoRR, 2021
ROAMM: A customizable and interactive smartwatch platform for patient-generated health data.
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
2020
Secondary care provider attitudes towards patient generated health data from smartwatches.
npj Digit. Medicine, 2020
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit.
CoRR, 2020
CoRR, 2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.
CoRR, 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data.
CoRR, 2020
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey.
IEEE Access, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time?
Soc. Netw. Anal. Min., 2019
A smartwatch-based framework for real-time and online assessment and mobility monitoring.
J. Biomed. Informatics, 2019
Frontiers Artif. Intell., 2019
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension.
CoRR, 2019
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality.
CoRR, 2019
Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients.
Proceedings of the 7th IEEE International Conference on Serious Games and Applications for Health, 2019
2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
IEEE J. Biomed. Health Informatics, 2018
IEEE J. Biomed. Health Informatics, 2018
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome.
CoRR, 2018
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics.
CoRR, 2018
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring.
CoRR, 2018
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?
CoRR, 2018
CoRR, 2018
Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning.
CoRR, 2017
Artif. Intell. Medicine, 2017
Proceedings of the 5th IEEE International Conference on Serious Games and Applications for Health, 2017
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the Healthcare Data Analytics., 2015
2014
SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
IEEE J. Biomed. Health Informatics, 2013
COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems.
ACM Trans. Intell. Syst. Technol., 2013
IEEE Trans. Cybern., 2013
2012
Int. J. Pervasive Comput. Commun., 2012
Proceedings of the ACM International Health Informatics Symposium, 2012
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011
Proceedings of the Toward Useful Services for Elderly and People with Disabilities, 2011
Workshop overview for the international workshop on situation, activity and goal awareness.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
2010
Mining and monitoring patterns of daily routines for assisted living in real world settings.
Proceedings of the ACM International Health Informatics Symposium, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the Plan, Activity, and Intent Recognition, 2010
2009
IEEE Trans. Syst. Man Cybern. Part A, 2009
Proceedings of the Intelligent Environments 2009 - Proceedings of the 5th International Conference on Intelligent Environments, 2009
2008
Proceedings of the Knowledge Discovery from Sensor Data, 2008
Proceedings of the 7th Workshop on Foundations of Aspect-Oriented Languages, 2008
2007
Proceedings of the Human-Computer Interaction. Interaction Platforms and Techniques, 2007