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2020 – today
- 2024
[j26]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: 102900 (2024)- [i44]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 Yang, Xiao Hu:
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes. CoRR abs/2401.13588 (2024) - [i43]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 abs/2402.02258 (2024) - [i42]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 abs/2402.04209 (2024) - [i41]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 abs/2403.01628 (2024) - [i40]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 abs/2403.04012 (2024) - [i39]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 abs/2403.06322 (2024) - [i38]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 abs/2403.07201 (2024) - [i37]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 abs/2404.06641 (2024) - [i36]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 abs/2404.06723 (2024) - [i35]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 abs/2404.16064 (2024) - [i34]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 abs/2407.18939 (2024) - 2023
- [c40]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: 1-5 - [c39]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: 2207-2212 - [i33]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 abs/2303.05504 (2023) - [i32]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 abs/2303.06071 (2023) - [i31]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 abs/2303.06252 (2023) - [i30]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 abs/2303.06253 (2023) - [i29]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 abs/2303.07305 (2023) - [i28]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 abs/2307.00067 (2023) - [i27]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 abs/2307.15719 (2023) - [i26]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 abs/2311.00565 (2023) - [i25]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 abs/2311.02026 (2023) - [i24]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 abs/2311.02251 (2023) - 2022
- [j25]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): 4755-4808 (2022) - [j24]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) - [j23]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: 773387 (2022) - [j22]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) - [j21]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) - [i23]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 abs/2208.05050 (2022) - [i22]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 abs/2211.06570 (2022) - 2021
- [j20]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: 640685 (2021) - [j19]Chris Giordano, Meghan Brennan, Basma Mohamed, Parisa Rashidi, François Modave, Patrick James Tighe:
Accessing Artificial Intelligence for Clinical Decision-Making. Frontiers Digit. Health 3: 645232 (2021) - [c38]Subhash Nerella, Julie Cupka, Matthew Ruppert, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain Action Unit Detection in Critically Ill Patients. COMPSAC 2021: 645-651 - [c37]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: 150-158 - [i21]Anis Davoudi, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Posture Recognition in the Critical Care Settings using Wearable Devices. CoRR abs/2110.02768 (2021) - [i20]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers. CoRR abs/2111.05431 (2021) - 2020
- [j18]Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey. IEEE Access 8: 210816-210836 (2020) - [j17]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) - [c36]Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. BIBE 2020: 269-274 - [c35]Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. BIBE 2020: 275-280 - [c34]Florenc Demrozi, Graziano Pravadelli, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. EMBC 2020: 4534-4538 - [c33]Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. EMBC 2020: 5450-5454 - [c32]Anis Davoudi, Catherine Dion, Shawna Amini, David J. Libon, Patrick James Tighe, Catherine C. Price, Parisa Rashidi:
Phenotyping Cognitive Impairment using Graphomotor and Latency Features in Digital Clock Drawing Test. EMBC 2020: 5657-5660 - [c31]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients*. EMBC 2020: 5696-5699 - [i19]Florenc Demrozi, Graziano Pravadelli, Azra Bihorac, Parisa Rashidi:
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey. CoRR abs/2004.08821 (2020) - [i18]Florenc Demrozi, Graziano Pravadelli, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients. CoRR abs/2004.09134 (2020) - [i17]Benjamin Shickel, Parisa Rashidi:
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data. CoRR abs/2004.12524 (2020) - [i16]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 abs/2004.12551 (2020) - [i15]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 abs/2004.13066 (2020) - [i14]Anis Davoudi, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Pain and Physical Activity Association in Critically Ill Patients. CoRR abs/2004.14952 (2020) - [i13]Vasundhra Iyengar, Azra Bihorac, Parisa Rashidi:
Automated Detection of Rest Disruptions in Critically Ill Patients. CoRR abs/2005.01798 (2020) - [i12]Subhash Nerella, Azra Bihorac, Patrick James Tighe, Parisa Rashidi:
Facial Action Unit Detection on ICU Data for Pain Assessment. CoRR abs/2005.02121 (2020) - [i11]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 abs/2005.05163 (2020)
2010 – 2019
- 2019
- [j16]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: 32 (2019) - [j15]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: 29-40 (2019) - [j14]Ashkan Ebadi, Patrick James 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): 7:1-7:20 (2019) - [c30]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: 1-7 - [i10]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 abs/1906.11706 (2019) - [i9]Benjamin Shickel, Scott Siegel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text. CoRR abs/1909.07502 (2019) - [i8]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 abs/1910.12895 (2019) - 2018
- [j13]Paul Nickerson, Raheleh Baharloo, Amal A. Wanigatunga, Todd M. Manini, Patrick James Tighe, Parisa Rashidi:
Transition Icons for Time-Series Visualization and Exploratory Analysis. IEEE J. Biomed. Health Informatics 22(2): 623-630 (2018) - [j12]Benjamin Shickel, Patrick James 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): 1589-1604 (2018) - [c29]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: 17-20 - [c28]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: 1863-1865 - [c27]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: 4106-4109 - [i7]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 abs/1802.10238 (2018) - [i6]Ashkan Ebadi, Patrick James 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 abs/1803.03359 (2018) - [i5]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:
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring. CoRR abs/1804.10201 (2018) - [i4]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 abs/1805.05452 (2018) - [i3]Ashkan Ebadi, Patrick James 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 abs/1812.07129 (2018) - 2017
- [j11]Ashkan Ebadi, Patrick James Tighe, Lei Zhang, Parisa Rashidi:
DisTeam: A decision support tool for surgical team selection. Artif. Intell. Medicine 76: 16-26 (2017) - [c26]Scott Siegel, Agyeiwaa O. Agyei, Anis Davoudi, Patrick James Tighe, Parisa Rashidi:
Anesthesia Instrument Recognition System. AMIA 2017 - [c25]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: 217-220 - [c24]Shruthi Gopalswamy, Patrick James Tighe, Parisa Rashidi:
Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends. BHI 2017: 361-364 - [c23]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: 568-573 - [c22]Marko Suvajdzic, Azra Bihorac, Parisa Rashidi:
D.R.E.A.M.S. (Digital Rehabilitation Environment-Altering Medical System). SeGAH 2017: 1-5 - [i2]Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi:
Deep EHR: A Survey of Recent Advances on Deep Learning Techniques for Electronic Health Record (EHR) Analysis. CoRR abs/1706.03446 (2017) - [i1]Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning. CoRR abs/1708.01372 (2017) - 2016
- [c21]Paul Nickerson, Patrick James Tighe, Benjamin Shickel, Parisa Rashidi:
Deep neural network architectures for forecasting analgesic response. EMBC 2016: 2966-2969 - [c20]Benjamin Shickel, Parisa Rashidi:
ART: An Availability-Aware Active Learning Framework for Data Streams. FLAIRS 2016: 92-97 - [c19]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: 1-6 - [c18]Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi:
Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL 2016: 23-32 - [c17]Benjamin Shickel, Parisa Rashidi:
Automatic Triage of Mental Health Forum Posts. CLPsych@HLT-NAACL 2016: 188-192 - 2015
- [p1]Giovanni Acampora, Diane J. Cook, Parisa Rashidi, Athanasios V. Vasilakos:
Data Analytics for Pervasive Health. Healthcare Data Analytics 2015: 533-576 - 2014
- [j10]Nirmalya Roy, Parisa Rashidi, Larry Holder, Liming Chen:
Special issue on data mining in pervasive environments. Pervasive Mob. Comput. 15: 151-152 (2014) - [c16]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: 1179-1185 - 2013
- [j9]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): 93-100 (2013) - [j8]Giovanni Acampora, Diane J. Cook, Parisa Rashidi, Athanasios V. Vasilakos:
A Survey on Ambient Intelligence in Healthcare. Proc. IEEE 101(12): 2470-2494 (2013) - [j7]Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi:
Activity Discovery and Activity Recognition: A New Partnership. IEEE Trans. Cybern. 43(3): 820-828 (2013) - [j6]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): 64:1-64:20 (2013) - [j5]Parisa Rashidi, Alex Mihailidis:
A Survey on Ambient-Assisted Living Tools for Older Adults. IEEE J. Biomed. Health Informatics 17(3): 579-590 (2013) - 2012
- [j4]Liming Chen, Parisa Rashidi:
Situation, activity and goal awareness in ubiquitous computing. Int. J. Pervasive Comput. Commun. 8(3): 216-224 (2012) - [c15]Diane J. Cook, Narayanan Chatapuram Krishnan, Parisa Rashidi, Marjorie Skubic, Alex Mihailidis:
Preface. AAAI Fall Symposium: Artificial Intelligence for Gerontechnology 2012 - [c14]Parisa Rashidi, Liming Chen, William K. Cheung:
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). UbiComp 2012: 1012-1015 - [c13]Parisa Rashidi:
Assisted living technologies for older adults. IHI 2012: 875-878 - 2011
- [j3]Parisa Rashidi, Diane J. Cook:
Activity knowledge transfer in smart environments. Pervasive Mob. Comput. 7(3): 331-343 (2011) - [j2]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): 527-539 (2011) - [c12]Liming Chen, Parisa Rashidi, Ismail Khalil, Zhiwen Yu, Christian Becker, William K. Cheung:
Workshop overview for the international workshop on situation, activity and goal awareness. UbiComp 2011: 631-632 - [c11]Parisa Rashidi, Diane J. Cook:
Domain Selection and Adaptation in Smart Homes. ICOST 2011: 17-24 - [c10]Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook:
Using Association Rule Mining to Discover Temporal Relations of Daily Activities. ICOST 2011: 49-56 - [c9]Parisa Rashidi, Diane J. Cook:
Ask me better questions: active learning queries based on rule induction. KDD 2011: 904-912 - 2010
- [c8]Parisa Rashidi, Diane J. Cook:
Activity Recognition Based on Home to Home Transfer Learning. Plan, Activity, and Intent Recognition 2010 - [c7]Parisa Rashidi, Diane J. Cook:
Mining Sensor Streams for Discovering Human Activity Patterns over Time. ICDM 2010: 431-440 - [c6]Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook:
Discovering Temporal Features and Relations of Activity Patterns. ICDM Workshops 2010: 1069-1075 - [c5]Parisa Rashidi, Diane J. Cook:
Mining and monitoring patterns of daily routines for assisted living in real world settings. IHI 2010: 336-345
2000 – 2009
- 2009
- [j1]Parisa Rashidi, Diane J. Cook:
Keeping the Resident in the Loop: Adapting the Smart Home to the User. IEEE Trans. Syst. Man Cybern. Part A 39(5): 949-959 (2009) - [c4]Parisa Rashidi, Diane J. Cook:
Transferring Learned Activities in Smart Environments. Intelligent Environments 2009: 185-192 - 2008
- [c3]Parisa Rashidi, Roger T. Alexander:
Onspect: ontology based aspects. FOAL 2008: 41 - [c2]Parisa Rashidi, Diane J. Cook:
An Adaptive Sensor Mining Framework for Pervasive Computing Applications. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 154-174 - 2007
- [c1]Parisa Rashidi, G. Michael Youngblood, Diane J. Cook, Sajal K. Das:
Inhabitant Guidance of Smart Environments. HCI (2) 2007: 910-919
Coauthor Index
Tezcan Baslanti
aka: Tezcan Ozrazgat-Baslanti
aka: Tezcan Ozrazgat-Baslanti
[j26] [i42] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [c40] [c39] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [j23] [j22] [j21] [i22] [j20] [c38] [i21] [i20] [j18] [c34] [c33] [c31] [i19] [i18] [i16] [i15] [i14] [i13] [i12] [i11] [j16] [c30] [i10] [i8] [j12] [c29] [c28] [c27] [i7] [i5] [i4] [c23] [c22] [i2]
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