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Benjamin Shickel
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2020 – today
- 2024
- [j8]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) - [j7]Jeremy A. Balch, A. Hayes Chatham, Philip K. W. Hong, Lauren Manganiello, Naveen Baskaran, Azra Bihorac, Benjamin Shickel, Ray E. Moseley, Tyler J. Loftus:
Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor. Frontiers Artif. Intell. 7 (2024) - [i23]Muhammad Imran, Jonathan R. Krebs, Veera Rajasekhar Reddy Gopu, Brian Fazzone, Vishal Balaji Sivaraman
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention. CoRR abs/2401.13049 (2024) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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
- [c7]Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records. BHI 2023: 1-5 - [i14]Yuanfang Ren, Tyler J. Loftus
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR abs/2303.05504 (2023) - [i13]Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac
Transformers in Healthcare: A Survey. CoRR abs/2307.00067 (2023) - [i12]Yuanfang Ren, Yanjun Li
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR abs/2307.15719 (2023) - [i11]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) - [i10]Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). CoRR abs/2311.02251 (2023) - 2022
- [j6]Anis Davoudi
Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit. Frontiers Digit. Health 4: 773387 (2022) - [j5]Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health 4 (2022) - [j4]Tyler J. Loftus
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022) - [j3]Le Peng, Gaoxiang Luo
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 30(1): 54-63 (2022) - 2021
- [j2]Benjamin Shickel, Anis Davoudi
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU. Frontiers Digit. Health 3: 640685 (2021) - [i9]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
- [c6]Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi:
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning. BIBE 2020: 269-274 - [c5]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 - [i8]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) - [i7]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)
2010 – 2019
- 2019
- [i6]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) - [i5]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
- [j1]Benjamin Shickel
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) - [i4]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) - [i3]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) - 2017
- [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
- [c4]Paul Nickerson, Patrick James Tighe
Deep neural network architectures for forecasting analgesic response. EMBC 2016: 2966-2969 - [c3]Benjamin Shickel, Parisa Rashidi:
ART: An Availability-Aware Active Learning Framework for Data Streams. FLAIRS 2016: 92-97 - [c2]Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi
Self-Reflective Sentiment Analysis. CLPsych@HLT-NAACL 2016: 23-32 - [c1]Benjamin Shickel, Parisa Rashidi
Automatic Triage of Mental Health Forum Posts. CLPsych@HLT-NAACL 2016: 188-192
Coauthor Index
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last updated on 2024-11-25 23:40 CET by the dblp team
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