Inhabitant Guidance of Smart Environments. - Parisa Rashidi; G. Michael Youngblood; Diane J. Cook; Sajal K. Das 001 (HCI (2), 2007)

Onspect: ontology based aspects. - Parisa Rashidi; Roger T. Alexander (FOAL, 2008)

An Adaptive Sensor Mining Framework for Pervasive Computing Applications. - Parisa Rashidi; Diane J. Cook (KDD Workshop on Knowledge Discovery from Sensor Data, 2008)

Transferring Learned Activities in Smart Environments. - Parisa Rashidi; Diane J. Cook (Intelligent Environments, 2009)

Keeping the Resident in the Loop: Adapting the Smart Home to the User. - Parisa Rashidi; Diane J. Cook (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Activity Recognition Based on Home to Home Transfer Learning. - Parisa Rashidi; Diane J. Cook (Plan, Activity, and Intent Recognition, 2010)

Discovering Temporal Features and Relations of Activity Patterns. - Ehsan Nazerfard; Parisa Rashidi; Diane J. Cook (ICDM Workshops, 2010)

Mining Sensor Streams for Discovering Human Activity Patterns over Time. - Parisa Rashidi; Diane J. Cook (ICDM, 2010)

Mining and monitoring patterns of daily routines for assisted living in real world settings. - Parisa Rashidi; Diane J. Cook (IHI, 2010)

Workshop overview for the international workshop on situation, activity and goal awareness. - Liming Chen 001; Parisa Rashidi; Ismail Khalil; Zhiwen Yu 001; Christian Becker 001; William K. Cheung 001 (UbiComp, 2011)

Using Association Rule Mining to Discover Temporal Relations of Daily Activities. - Ehsan Nazerfard; Parisa Rashidi; Diane J. Cook (ICOST, 2011)

Domain Selection and Adaptation in Smart Homes. - Parisa Rashidi; Diane J. Cook (ICOST, 2011)

Ask me better questions: active learning queries based on rule induction. - Parisa Rashidi; Diane J. Cook (KDD, 2011)

Activity knowledge transfer in smart environments. - Parisa Rashidi; Diane J. Cook (Pervasive Mob. Comput., 2011)

Discovering Activities to Recognize and Track in a Smart Environment. - Parisa Rashidi; Diane J. Cook; Lawrence B. Holder; Maureen Schmitter-Edgecombe (IEEE Trans. Knowl. Data Eng., 2011)

Preface. - Diane J. Cook; Narayanan Chatapuram Krishnan; Parisa Rashidi; Marjorie Skubic; Alex Mihailidis (AAAI Fall Symposium: Artificial Intelligence for Gerontechnology, 2012)

International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). - Parisa Rashidi; Liming Chen 001; William K. Cheung 001 (UbiComp, 2012)

Assisted living technologies for older adults. - Parisa Rashidi (IHI, 2012)

Situation, activity and goal awareness in ubiquitous computing. - Liming Chen 001; Parisa Rashidi (Int. J. Pervasive Comput. Commun., 2012)

Reports on the 2012 AAAI Fall Symposium Series. - Rezarta Islamaj Dogan; Yolanda Gil; Haym Hirsh; Narayanan Chatapuram Krishnan; Michael Lewis 001; Çetin Meriçli; Parisa Rashidi; Victor Raskin; Samarth Swarup; Wei Sun; Julia M. Taylor; Lana Yeganova (AI Mag., 2013)

A Survey on Ambient Intelligence in Healthcare. - Giovanni Acampora; Diane J. Cook; Parisa Rashidi; Athanasios V. Vasilakos (Proc. IEEE, 2013)

Activity Discovery and Activity Recognition: A New Partnership. - Diane J. Cook; Narayanan Chatapuram Krishnan; Parisa Rashidi (IEEE Trans. Cybern., 2013)

COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems. - Parisa Rashidi; Diane J. Cook (ACM Trans. Intell. Syst. Technol., 2013)

A Survey on Ambient-Assisted Living Tools for Older Adults. - Parisa Rashidi; Alex Mihailidis (IEEE J. Biomed. Health Informatics, 2013)

SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. - Hassan Ghasemzadeh 001; Parisa Rashidi; Michael K. Ong; Diane J. Cook; Roozbeh Jafari; George Demiris; Misha Pavel; Marjorie Skubic (UbiComp Adjunct, 2014)

Special issue on data mining in pervasive environments. - Nirmalya Roy; Parisa Rashidi; Larry Holder; Liming Chen 001 (Pervasive Mob. Comput., 2014)

Data Analytics for Pervasive Health. - Giovanni Acampora; Diane J. Cook; Parisa Rashidi; Athanasios V. Vasilakos (Healthcare Data Analytics, 2015)

Deep neural network architectures for forecasting analgesic response. - Paul Nickerson; Patrick James Tighe; Benjamin Shickel; Parisa Rashidi (EMBC, 2016)

ART: An Availability-Aware Active Learning Framework for Data Streams. - Benjamin Shickel; Parisa Rashidi (FLAIRS, 2016)

ROAMM: A software infrastructure for real-time monitoring of personal health. - Sanjay P. Nair; Matin Kheirkhahan; Anis Davoudi; Parisa Rashidi; Amal A. Wanigatunga; Duane B. Corbett; Todd M. Manini; Sanjay Ranka (HealthCom, 2016)

Self-Reflective Sentiment Analysis. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Ashkan Ebadi; Paul Nickerson; Parisa Rashidi (CLPsych@HLT-NAACL, 2016)

Automatic Triage of Mental Health Forum Posts. - Benjamin Shickel; Parisa Rashidi (CLPsych@HLT-NAACL, 2016)

Anesthesia Instrument Recognition System. - Scott Siegel; Agyeiwaa O. Agyei; Anis Davoudi; Patrick James Tighe; Parisa Rashidi (AMIA, 2017)

Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. - Shruthi Gopalswamy; Patrick James Tighe; Parisa Rashidi (BHI, 2017)

Power-efficient real-time approach to non-wear time detection for smartwatches. - Matin Kheirkhahan; Hiranava Das; Manoj Battula; Anis Davoudi; Parisa Rashidi; Todd M. Manini; Sanjay Ranka (BHI, 2017)

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Alberto C. Bursian; Azra Bihorac; Parisa Rashidi (BIBE, 2017)

D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). - Marko Suvajdzic; Azra Bihorac; Parisa Rashidi (SeGAH, 2017)

DisTeam: A decision support tool for surgical team selection. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Artif. Intell. Medicine, 2017)

Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Parisa Rashidi (CoRR, 2017)

Activity and circadian rhythm of sepsis patients in the Intensive Care Unit. - Anis Davoudi; Duane B. Corbett; Tezcan Ozrazgat-Baslanti; Azra Bihorac; Scott C. Brakenridge; Todd M. Manini; Parisa Rashidi (BHI, 2018)

Autonomous Detection of Disruptions in the Intensive Care Unit Using Deep Mask R-CNN. - Kumar Rohit Malhotra; Anis Davoudi; Scott Siegel; Azra Bihorac; Parisa Rashidi (CVPR Workshops, 2018)

Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series. - Paul Nickerson; Raheleh Baharloo; Anis Davoudi; Azra Bihorac; Parisa Rashidi (EMBC, 2018)

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. - Benjamin Shickel; Tyler J. Loftus; Tezcan Ozrazgat-Baslanti; Ashkan Ebadi; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? - Ashkan Ebadi; Patrick James Tighe; Lei Zheng; Parisa Rashidi (CoRR, 2018)

The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. - Anis Davoudi; Kumar Rohit Malhotra; Benjamin Shickel; Scott Siegel; Seth Williams; Matthew Ruppert; Emel Bihorac; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2018)

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics. - Lasith Adhikari; Tezcan Ozrazgat-Baslanti; Paul Thottakkara; Ashkan Ebadi; Amir Motaei; Parisa Rashidi; Xiaolin Li 001; Azra Bihorac (CoRR, 2018)

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome. - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (CoRR, 2018)

Transition Icons for Time-Series Visualization and Exploratory Analysis. - Paul Nickerson; Raheleh Baharloo; Amal A. Wanigatunga; Todd M. Manini; Patrick James Tighe; Parisa Rashidi (IEEE J. Biomed. Health Informatics, 2018)

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (IEEE J. Biomed. Health Informatics, 2018)

Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients. - Marko Suvajdzic; Azra Bihorac; Parisa Rashidi; Matthew Ruppert; Seth Williams; Tezcan Ozrazgat-Baslanti; Triton Ong; Joel Appelbaum (SeGAH, 2019)

The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality. - Triton Ong; Matthew Ruppert; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Marko Suvajdzic; Azra Bihorac (CoRR, 2019)

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. - 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 001; et al. (CoRR, 2019)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. - Tyler J. Loftus; Gilbert R. Upchurch Jr.; Daniel Delitto; Parisa Rashidi; Azra Bihorac (Frontiers Artif. Intell., 2019)

A smartwatch-based framework for real-time and online assessment and mobility monitoring. - Matin Kheirkhahan; Sanjay P. Nair; Anis Davoudi; Parisa Rashidi; Amal A. Wanigatunga; Duane B. Corbett; Tonatiuh Mendoza; Todd M. Manini; Sanjay Ranka (J. Biomed. Informatics, 2019)

A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time? - Ashkan Ebadi; Patrick James Tighe; Lei Zhang; Parisa Rashidi (Soc. Netw. Anal. Min., 2019)

Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. - Benjamin Shickel; Martin Heesacker; Sherry Benton; Parisa Rashidi (BIBE, 2020)

Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. - Benjamin Shickel; Scott Siegel; Martin Heesacker; Sherry Benton; Parisa Rashidi (BIBE, 2020)

Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. - Anis Davoudi; Catherine Dion; Shawna Amini; David J. Libon; Patrick James Tighe; Catherine C. Price; Parisa Rashidi (EMBC, 2020)

Pain and Physical Activity Association in Critically Ill Patients*. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. - Florenc Demrozi; Graziano Pravadelli; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Automated Detection of Rest Disruptions in Critically Ill Patients. - Vasundhra Iyengar; Azra Bihorac; Parisa Rashidi (EMBC, 2020)

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. - Florenc Demrozi; Graziano Pravadelli; Azra Bihorac; Parisa Rashidi (IEEE Access, 2020)

Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. - Benjamin Shickel; Parisa Rashidi (CoRR, 2020)

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. - Benjamin Shickel; Tyler J. Loftus; Shounak Datta; Tezcan Ozrazgat-Baslanti; Azra Bihorac; Parisa Rashidi (CoRR, 2020)

Application of Deep Interpolation Network for Clustering of Physiologic Time Series. - Yanjun Li 005; Yuanfang Ren; Tyler J. Loftus; Shounak Datta; Matthew Ruppert; Ziyuan Guan; Dapeng Oliver Wu; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2020)

Pain and Physical Activity Association in Critically Ill Patients. - Anis Davoudi; Tezcan Ozrazgat-Baslanti; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2020)

Facial Action Unit Detection on ICU Data for Pain Assessment. - Subhash Nerella; Azra Bihorac; Patrick James Tighe; Parisa Rashidi (CoRR, 2020)

Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. - Yuanfang Ren; Tyler J. Loftus; Rahul Sai Kasula; Prudhvee Narasimha Sadha; Parisa Rashidi; Azra Bihorac; Tezcan Ozrazgat-Baslanti (CoRR, 2020)

Secondary care provider attitudes towards patient generated health data from smartwatches. - Jordan Alpert; Todd M. Manini; Megan Roberts; Naga S. Prabhakar Kota; Tonatiuh Mendoza; Laurence M. Solberg; Parisa Rashidi (npj Digit. Medicine, 2020)

Pain Action Unit Detection in Critically Ill Patients. - Subhash Nerella; Julie Cupka; Matthew Ruppert; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (COMPSAC, 2021)

ROAMM: A customizable and interactive smartwatch platform for patient-generated health data. - Yashaswi Karnati; Ruben D. 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; et al. (IC3, 2021)

Posture Recognition in the Critical Care Settings using Wearable Devices. - Anis Davoudi; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2021)

Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. - Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2021)

Accessing Artificial Intelligence for Clinical Decision-Making. - Chris Giordano; Meghan Brennan; Basma Mohamed; Parisa Rashidi; François Modave; Patrick James Tighe (Frontiers Digit. Health, 2021)

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. - Benjamin Shickel; Anis Davoudi; Tezcan Ozrazgat-Baslanti; Matthew Ruppert; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2021)

Human activity recognition in artificial intelligence framework: a narrative review. - Neha Gupta; Suneet K. Gupta 001; Rajesh K. Pathak; Vanita Jain; Parisa Rashidi; Jasjit S. Suri (Artif. Intell. Rev., 2022)

Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture. - Mizuki Miyatake; Subhash Nerella; David Simpson; Natalia Pawlowicz; Sarah Stern; Patrick James Tighe; Parisa Rashidi (CoRR, 2022)

End-to-End Machine Learning Framework for Facial AU Detection in Intensive Care Units. - Subhash Nerella; Kia Khezeli; Andrea Davidson; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2022)

Fairness in the prediction of acute postoperative pain using machine learning models. - Anis Davoudi; Ruba Sajdeya; Ron Ison; Jennifer Hagen; Parisa Rashidi; Catherine C. Price; Patrick James Tighe (Frontiers Digit. Health, 2022)

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. - Anis Davoudi; Benjamin Shickel; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2022)

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. - Benjamin Shickel; Brandon Silva; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Kia Khezeli; Ziyuan Guan; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (Frontiers Digit. Health, 2022)

Phenotype clustering in health care: A narrative review for clinicians. - 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; et al. (Frontiers Artif. Intell., 2022)

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. - Miguel Contreras; Brandon Silva; Benjamin Shickel; Sabyasachi Bandyopadhyay; Ziyuan Guan; Yuanfang Ren; Tezcan Ozrazgat-Baslanti; Kia Khezeli; Azra Bihorac; Parisa Rashidi (BHI, 2023)

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. - 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 (BIBM, 2023)

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. - Yuanfang Ren; Tyler J. Loftus; Ziyuan Guan; Rayon Uddin; Benjamin Shickel; Carolina B. Maciel; Katharina Busl; Parisa Rashidi; Azra Bihorac; Tezcan Ozrazgat-Baslanti (CoRR, 2023)

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis. - Esra Adiyeke; Yuanfang Ren; Ziyuan Guan; Matthew M. Ruppert; Parisa Rashidi; Azra Bihorac; Tezcan Ozrazgat-Baslanti (CoRR, 2023)

AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing. - Subhash Nerella; Ziyuan Guan; Scott Siegel; Jiaqing Zhang; Kia Khezeli; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Predicting risk of delirium from ambient noise and light information in the ICU. - Sabyasachi Bandyopadhyay; Ahna Cecil; Jessica Sena; Andrea Davidson; Ziyuan Guan; Subhash Nerella; Jiaqing Zhang; Kia Khezeli; Brooke Armfield; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Transformer Models for Acute Brain Dysfunction Prediction. - Brandon Silva; Miguel Contreras; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Kia Khezeli; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

Transformers in Healthcare: A Survey. - Subhash Nerella; Sabyasachi Bandyopadhyay; Jiaqing Zhang; Miguel Contreras; Scott Siegel; Aysegul Bumin; Brandon Silva; Jessica Sena; Benjamin Shickel; Azra Bihorac; Kia Khezeli; Parisa Rashidi (CoRR, 2023)

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. - Yuanfang Ren; Yanjun Li 005; 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 (CoRR, 2023)

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. - Subhash Nerella; Ziyuan Guan; Andrea Davidson; Yuanfang Ren; Tezcan Baslanti; Brooke Armfield; Patrick James Tighe; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies. - Miguel Contreras; Brandon Silva; Benjamin Shickel; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Sabyasachi Bandyopadhyay; Kia Khezeli; Azra Bihorac; Parisa Rashidi (CoRR, 2023)

The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). - 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 (CoRR, 2023)

Enhancing EHR Systems with data from wearables: An end-to-end Solution for monitoring post-Surgical Symptoms in older adults. - Heng Sun; Sai Manoj Jalam; Havish Kodali; Subhash Nerella; Ruben D. Zapata; Nicole Gravina; Jessica M. Ray; Erik C. Schmidt; Todd M. Manini; Parisa Rashidi (MobiCom, 2024)

Transformers and large language models in healthcare: A review. - Subhash Nerella; Sabyasachi Bandyopadhyay; Jiaqing Zhang; Miguel Contreras; Scott Siegel; Aysegul Bumin; Brandon Silva; Jessica Sena; Benjamin Shickel; Azra Bihorac; Kia Khezeli; Parisa Rashidi (Artif. Intell. Medicine, 2024)

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. - Darren Liu; Cheng Ding; Delgersuren Bold; Monique Bouvier; Jiaying Lu 001; Benjamin Shickel; Craig S. Jabaley; Wenhui Zhang; Soojin Park; Michael J. Young; Mark S. Wainwright; Gilles Clermont; et al. (CoRR, 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Jim Su; Yupu Zhang; Raymond Opoku; Ronald L. Ison; Jason Petho; Jiang Bian 001; Patrick James Tighe; Parisa Rashidi; Zhe Jiang 001 (CoRR, 2024)

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study. - 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; et al. (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. - 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; et al. (CoRR, 2024)

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility. - Scott Siegel; Jiaqing Zhang; Sabyasachi Bandyopadhyay; Subhash Nerella; Brandon Silva; Tezcan Baslanti; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models. - Brandon Silva; Miguel Contreras; Sabyasachi Bandyopadhyay; Yuanfang Ren; Ziyuan Guan; Jeremy A. Balch; Kia Khezeli; Tezcan Ozrazgat-Baslanti; Benjamin Shickel; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

Federated learning model for predicting major postoperative complications. - Yonggi Park; Yuanfang Ren; Benjamin Shickel; Ziyuan Guan; Ayush Patela; Yingbo Ma; Zhenhong Hu; Tyler J. Loftus; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2024)

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. - 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; et al. (CoRR, 2024)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. - 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; et al. (CoRR, 2024)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. - 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; et al. (CoRR, 2024)

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR. - Miguel Contreras; Sumit Kapoor; Jiaqing Zhang; Andrea Davidson; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. - Sabyasachi Bandyopadhyay; Jiaqing Zhang; Ronald L. Ison; David J. Libon; Patrick James Tighe; Catherine C. Price; Parisa Rashidi (CoRR, 2024)

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes. - Jiaqing Zhang; Miguel Contreras; Sabyasachi Bandyopadhyay; Andrea Davidson; Jessica Sena; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2024)

XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications. - Tingsong Xiao; Zelin Xu 001; Wenchong He; Zhengkun Xiao; Yupu Zhang; Zibo Liu; Shigang Chen; My T. Thai; Jiang Bian 001; Parisa Rashidi; Zhe Jiang 001 (AAAI, 2025)

NeuRL: A Standalone No-Code Web-Based Agent Environment to Explore Neural Networks and Reinforcement Learning. - Scott Siegel; Amanpreet Kapoor; Parisa Rashidi (SIGCSE (1), 2025)

Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction. - Ali Farshian Abbasi; Aghil Yousefi-Koma; Soheil Dehghani Firouzabadi; Parisa Rashidi; Alireza Naeini (CoRR, 2025)

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model. - Miguel Contreras; Jessica Sena; Andrea Davidson; Jiaqing Zhang; Tezcan Ozrazgat-Baslanti; Yuanfang Ren; Ziyuan Guan; Jeremy A. Balch; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2025)

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium. - Yuanfang Ren; Andrea Davidson; Jiaqing Zhang; Miguel Contreras; Ayush Patela; Michelle Gumz; Tezcan Ozrazgat-Baslanti; Parisa Rashidi; Azra Bihorac (CoRR, 2025)

An Iterative, User-Centered Design of a Clinical Decision Support System for Critical Care Assessments: Co-Design Sessions with ICU Clinical Providers. - Andrea Davidson; Jessica M. Ray; Ayush Patela; Yulia Strekalova Levites; Parisa Rashidi; Azra Bihorac (CoRR, 2025)

MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care. - Jiaqing Zhang; Miguel Contreras; Jessica Sena; Andrea Davidson; Yuanfang Ren; Ziyuan Guan; Tezcan Ozrazgat-Baslanti; Tyler J. Loftus; Subhash Nerella; Azra Bihorac; Parisa Rashidi (CoRR, 2025)

Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance. - Andrea Davidson; Jessica M. Ray; Yulia Strekalova Levites; Parisa Rashidi; Azra Bihorac (CoRR, 2025)

Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care. - John Rincon; Alexander Russell Pelletier; Destiny Gilliland; Wei Wang 010; Ding Wang; Simha Sankar Baradwaj; Lori Scott-Sheldon; Samson Gebreab; William Hersh; Parisa Rashidi; Sally Baxter; Wade Schulz; et al. (CoRR, 2025)

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning. - Esra Adiyeke; Tianqi Liu; Venkata Sai Dheeraj Naganaboina; Han Li; Tyler J. Loftus; Yuanfang Ren; Benjamin Shickel; Matthew M. Ruppert; Karandeep Singh; Ruogu Fang; Parisa Rashidi; Azra Bihorac; et al. (CoRR, 2025)

Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust. - Yuanfang Ren; Esra Adiyeke; Ziyuan Guan; Zhenhong Hu; Mackenzie J. Meni; Benjamin Shickel; Parisa Rashidi; Tezcan Ozrazgat-Baslanti; Azra Bihorac (CoRR, 2025)