Parisa Rashidi

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 84

Top Venues

CoRR

EMBC

Frontiers Digit. Health

BHI

Publications

Brandon Silva, Miguel Contreras, Sabyasachi Bandyopadhyay, Yuanfang Ren, Ziyuan Guan, Jeremy A. Balch, Kia Khezeli, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Azra Bihorac, Parisa Rashidi
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models. CoRR (2024)
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi
Transformers and large language models in healthcare: A review. Artif. Intell. Medicine 154 (2024)
Esra Adiyeke, Yuanfang Ren, Benjamin Shickel, Matthew M. Ruppert, Ziyuan Guan, Sandra L. Kane-Gill, Raghavan Murugan, Nabihah Amatullah, Britney A. Stottlemyer, Tiffany L. Tran, Dan Ricketts, Christopher M. Horvat, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study. CoRR (2024)
Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald L. Ison, Jason Petho, Jiang Bian, Patrick James Tighe, Parisa Rashidi, Zhe Jiang
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. CoRR (2024)
Scott Siegel, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Subhash Nerella, Brandon Silva, Tezcan Baslanti, Azra Bihorac, Parisa Rashidi
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility. CoRR (2024)
Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl J. Yang, Xiao Hu
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR (2024)
Yingbo Ma, Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. CoRR (2024)
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai "Orson" Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. CoRR (2024)
Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Federated learning model for predicting major postoperative complications. CoRR (2024)
Yingbo Ma, Yukyeong Song, Jeremy A. Balch, Yuanfang Ren, Divya Vellanki, Zhenhong Hu, Meghan Brennan, Suraj Kolla, Ziyuan Guan, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Tyler J. Loftus, Azra Bihorac, Benjamin Shickel
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. CoRR (2024)
Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan, Ruilin Zhu, Victoria Hougha, Yingbo Ma, Zhenhong Hu, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. CoRR (2024)
Brandon Silva, Miguel Contreras, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Kia Khezeli, Azra Bihorac, Parisa Rashidi
Transformer Models for Acute Brain Dysfunction Prediction. CoRR (2023)
Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. CoRR (2023)
Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). CoRR (2023)
Miguel Contreras, Brandon Silva, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Sabyasachi Bandyopadhyay, Kia Khezeli, Azra Bihorac, Parisa Rashidi
APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies. CoRR (2023)
Subhash Nerella, Ziyuan Guan, Scott Siegel, Jiaqing Zhang, Kia Khezeli, Azra Bihorac, Parisa Rashidi
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing. CoRR (2023)
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi
Transformers in Healthcare: A Survey. CoRR (2023)
Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Kia Khezeli, Azra Bihorac, Parisa Rashidi
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. BHI (2023)
Yuanfang Ren, Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel, Katharina Busl, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR (2023)
Jessica Sena, Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, William Robson Schwartz, Parisa Rashidi
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. BIBM (2023)
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis. CoRR (2023)
Sabyasachi Bandyopadhyay, Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella, Jiaqing Zhang, Kia Khezeli, Brooke Armfield, Azra Bihorac, Parisa Rashidi
Predicting risk of delirium from ambient noise and light information in the ICU. CoRR (2023)
Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR (2023)
Tyler J. Loftus, Benjamin Shickel, Jeremy A. Balch, Patrick James Tighe, Kenneth L. Abbott, Brian Fazzone, Erik M. Anderson, Jared Rozowsky, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Scott A. Berceli, William R. Hogan, Philip A. Efron, J. Randall Moorman, Parisa Rashidi, Gilbert R. Upchurch Jr., Azra Bihorac
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022)
Subhash Nerella, Kia Khezeli, Andrea Davidson, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. CoRR (2022)
Anis Davoudi, Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. Frontiers Digit. Health 4 (2022)
Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health 4 (2022)
Neha Gupta, Suneet K. Gupta, Rajesh K. Pathak, Vanita Jain, Parisa Rashidi, Jasjit S. Suri
Human activity recognition in artificial intelligence framework: a narrative review. Artif. Intell. Rev. 55 (6) (2022)
Mizuki Miyatake, Subhash Nerella, David Simpson, Natalia Pawlowicz, Sarah Stern, Patrick James Tighe, Parisa Rashidi
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture. CoRR (2022)
Anis Davoudi, Ruba Sajdeya, Ron Ison, Jennifer Hagen, Parisa Rashidi, Catherine C. Price, Patrick James Tighe
Fairness in the prediction of acute postoperative pain using machine learning models. Frontiers Digit. Health 4 (2022)
Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick J. Tighe
Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers Digit. Health 3 (2021)
Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR (2021)
Subhash Nerella, Julie Cupka, Matthew Ruppert, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Pain Action Unit Detection in Critically Ill Patients. COMPSAC (2021)
Anis Davoudi, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Posture Recognition in the Critical Care Settings using Wearable Devices. CoRR (2021)
Benjamin Shickel, Anis Davoudi, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, Azra Bihorac, Parisa Rashidi
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. Frontiers Digit. Health 3 (2021)
Yashaswi Karnati, Ruben Zapata, Matthew J. McConnell, Rohith R. K. Reddy, Varun Reddy Regalla, Aseem Thakkar, Jordan Alpert, Tonatiuh Mendoza, Parisa Rashidi, Mamoun T. Mardini, Michael Marsiske, Thomas M. Gill, Todd M. Manini, Sanjay Ranka
ROAMM: A customizable and interactive smartwatch platform for patient-generated health data. IC3 (2021)
Jordan Alpert, Todd M. Manini, Megan Roberts, Naga S. Prabhakar Kota, Tonatiuh Mendoza, Laurence M. Solberg, Parisa Rashidi
Secondary care provider attitudes towards patient generated health data from smartwatches. npj Digit. Medicine 3 (2020)
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
. EMBC (2020)
Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi
Automated Detection of Rest Disruptions in Critically Ill Patients. EMBC (2020)
Subhash Nerella, Azra Bihorac, Patrick J. Tighe, Parisa Rashidi
Facial Action Unit Detection on ICU Data for Pain Assessment. CoRR (2020)
Florenc Demrozi, Graziano Pravadelli, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. CoRR (2020)
Anis Davoudi, Catherine Dion, Shawna Amini, David J. Libon, Patrick J. Tighe, Catherine C. Price, Parisa Rashidi
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. EMBC (2020)
Florenc Demrozi, Graziano Pravadelli, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. EMBC (2020)
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 8 (2020)
Benjamin Shickel, Parisa Rashidi
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. CoRR (2020)
Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. BIBE (2020)
Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. BIBE (2020)
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Pain and Physical Activity Association in Critically Ill Patients. CoRR (2020)
Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR (2020)
Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. CoRR (2020)
Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey. CoRR (2020)
Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi
Automated Detection of Rest Disruptions in Critically Ill Patients. CoRR (2020)
Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR (2020)
Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. CoRR (2019)
Matin Kheirkhahan, Sanjay P. Nair, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Tonatiuh Mendoza, Todd M. Manini, Sanjay Ranka
A smartwatch-based framework for real-time and online assessment and mobility monitoring. J. Biomed. Informatics 89 (2019)
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR (2019)
Triton Ong, Matthew Ruppert, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Marko Suvajdzic, Azra Bihorac
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. CoRR (2019)
Tyler J. Loftus, Gilbert R. Upchurch Jr., Daniel Delitto, Parisa Rashidi, Azra Bihorac
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. Frontiers Artif. Intell. 2 (2019)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? Soc. Netw. Anal. Min. 9 (1) (2019)
Marko Suvajdzic, Azra Bihorac, Parisa Rashidi, Matthew Ruppert, Seth Williams, Tezcan Ozrazgat-Baslanti, Triton Ong, Joel Appelbaum
Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients. SeGAH (2019)
Anis Davoudi, Duane B. Corbett, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Scott C. Brakenridge, Todd M. Manini, Parisa Rashidi
Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. BHI (2018)
Ashkan Ebadi, Patrick J. Tighe, Lei Zheng, Parisa Rashidi
A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? CoRR (2018)
Paul Nickerson, Raheleh Baharloo, Anis Davoudi, Azra Bihorac, Parisa Rashidi
Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series. EMBC (2018)
Kumar Rohit Malhotra, Anis Davoudi, Scott Siegel, Azra Bihorac, Parisa Rashidi
Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. CVPR Workshops (2018)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. CoRR (2018)
Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. CoRR (2018)
Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR (2018)
Paul Nickerson, Raheleh Baharloo, Amal A. Wanigatunga, Todd M. Manini, Patrick J. Tighe, Parisa Rashidi
Transition Icons for Time-Series Visualization and Exploratory Analysis. IEEE J. Biomed. Health Informatics 22 (2) (2018)
Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR (2018)
Matin Kheirkhahan, Hiranava Das, Manoj Battula, Anis Davoudi, Parisa Rashidi, Todd M. Manini, Sanjay Ranka
Power-efficient real-time approach to non-wear time detection for smartwatches. BHI (2017)
Scott Siegel, Agyeiwaa O. Agyei, Anis Davoudi, Patrick J. Tighe, Parisa Rashidi
Anesthesia Instrument Recognition System. AMIA (2017)
Marko Suvajdzic, Azra Bihorac, Parisa Rashidi
D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). SeGAH (2017)
Shruthi Gopalswamy, Patrick J. Tighe, Parisa Rashidi
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. BHI (2017)
Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. CoRR (2017)
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine 76 (2017)
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C. Bursian, Azra Bihorac, Parisa Rashidi
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. BIBE (2017)
Benjamin Shickel, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR (2017)
Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi
Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL (2016)
Paul Nickerson, Patrick J. Tighe, Benjamin Shickel, Parisa Rashidi
Deep neural network architectures for forecasting analgesic response. EMBC (2016)
Sanjay P. Nair, Matin Kheirkhahan, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini, Sanjay Ranka
ROAMM: A software infrastructure for real-time monitoring of personal health. HealthCom (2016)
Benjamin Shickel, Parisa Rashidi
Automatic Triage of Mental Health Forum Posts. CLPsych@HLT-NAACL (2016)
Benjamin Shickel, Parisa Rashidi
ART: An Availability-Aware Active Learning Framework for Data Streams. FLAIRS Conference (2016)
Hassan Ghasemzadeh, Parisa Rashidi, Michael K. Ong, Diane J. Cook, Roozbeh Jafari, George Demiris, Misha Pavel, Marjorie Skubic
SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. UbiComp Adjunct (2014)
Nirmalya Roy, Parisa Rashidi, Larry Holder, Liming Chen
Special issue on data mining in pervasive environments. Pervasive Mob. Comput. 15 (2014)
Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi
Activity Discovery and Activity Recognition: A New Partnership. IEEE Trans. Cybern. 43 (3) (2013)
Parisa Rashidi, Diane J. Cook
COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems. ACM Trans. Intell. Syst. Technol. 4 (4) (2013)
Giovanni Acampora, Diane J. Cook, Parisa Rashidi, Athanasios V. Vasilakos
A Survey on Ambient Intelligence in Healthcare. Proc. IEEE 101 (12) (2013)
Parisa Rashidi, Alex Mihailidis
A Survey on Ambient-Assisted Living Tools for Older Adults. IEEE J. Biomed. Health Informatics 17 (3) (2013)
Rezarta Islamaj Dogan, Yolanda Gil, Haym Hirsh, Narayanan Chatapuram Krishnan, Michael Lewis, Çetin Meriçli, Parisa Rashidi, Victor Raskin, Samarth Swarup, Wei Sun, Julia M. Taylor, Lana Yeganova
Reports on the 2012 AAAI Fall Symposium Series. AI Mag. 34 (1) (2013)
Liming Chen, Parisa Rashidi
Situation, activity and goal awareness in ubiquitous computing. Int. J. Pervasive Comput. Commun. 8 (3) (2012)
Parisa Rashidi, Liming Chen, William K. Cheung
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). UbiComp (2012)
Parisa Rashidi
Assisted living technologies for older adults. IHI (2012)
Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi, Marjorie Skubic, Alex Mihailidis
Preface. AAAI Fall Symposium: Artificial Intelligence for Gerontechnology (2012)
Parisa Rashidi, Diane J. Cook
Activity knowledge transfer in smart environments. Pervasive Mob. Comput. 7 (3) (2011)
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder, Maureen Schmitter-Edgecombe
Discovering Activities to Recognize and Track in a Smart Environment. IEEE Trans. Knowl. Data Eng. 23 (4) (2011)
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
Using Association Rule Mining to Discover Temporal Relations of Daily Activities. ICOST (2011)
Parisa Rashidi, Diane J. Cook
Ask me better questions: active learning queries based on rule induction. KDD (2011)
Parisa Rashidi, Diane J. Cook
Domain Selection and Adaptation in Smart Homes. ICOST (2011)

Parisa Rashidi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Parisa Rashidi