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2020 – today
- 2024
[j1]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)- [i8]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) - [i7]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) - [i6]Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci:
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring. CoRR abs/2409.12493 (2024) - [i5]Sabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick James Tighe, Catherine C. Price, Parisa Rashidi:
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes. CoRR abs/2411.00840 (2024) - 2023
- [c2]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 - [c1]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 - [i4]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) - [i3]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) - [i2]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) - [i1]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)
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