MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care

Authors: Zhang, Jiaqing, Contreras, Miguel, Sena, Jessica, Davidson, Andrea, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.11695

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium

Authors: Ren, Yuanfang, Davidson, Andrea E., Zhang, Jiaqing, Contreras, Miguel, Patel, Ayush K., Gumz, Michelle, Ozrazgat-Baslanti, Tezcan, Rashidi, Parisa, Bihorac, Azra

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2503.08732

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model

Authors: Contreras, Miguel, Sena, Jessica, Davidson, Andrea, Zhang, Jiaqing, Ozrazgat-Baslanti, Tezcan, Ren, Yuanfang, Guan, Ziyuan, Balch, Jeremy, Loftus, Tyler, Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.06059

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes

Authors: Zhang, Jiaqing, Contreras, Miguel, Bandyopadhyay, Sabyasachi, Davidson, Andrea, Sena, Jessica, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.17832

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR

Authors: Contreras, Miguel, Kapoor, Sumit, Zhang, Jiaqing, Davidson, Andrea, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2410.17363

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools

Authors: Ma, Yingbo, Song, Yukyeong, Balch, Jeremy A., Ren, Yuanfang, Vellanki, Divya, Hu, Zhenhong, Brennan, Meghan, Kolla, Suraj, Guan, Ziyuan, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Rashidi, Parisa, Loftus, Tyler J., Bihorac, Azra, Shickel, Benjamin

Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2407.18939

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data

Authors: Sena, Jessica, Bandyopadhyay, Sabyasachi, Mostafiz, Mohammad Tahsin, Davidson, Andrea, Guan, Ziyuan, Barreto, Jesimon, Ozrazgat-Baslanti, Tezcan, Tighe, Patrick, Bihorac, Azra, Schwartz, William Robson, Rashidi, Parisa

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :2207-2212 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records

Authors: Contreras, Miguel, Silva, Brandon, Shickel, Benjamin, Bandyopadhyay, Sabyasachi, Guan, Ziyuan, Ren, Yuanfang, Ozrazgat-Baslanti, Tezcan, Khezeli, Kia, Bihorac, Azra, Rashidi, Parisa

Source: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Biomedical and Health Informatics (BHI), 2023 IEEE EMBS International Conference on. :1-5 Oct, 2023

Relation: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications

Authors: Ren, Yuanfang, Tripathi, Chirayu, Guan, Ziyuan, Zhu, Ruilin, Hougha, Victoria, Ma, Yingbo, Hu, Zhenhong, Balch, Jeremy, Loftus, Tyler J., Rashidi, Parisa, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra

Subject Terms: Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Computer Science - Logic in Computer Science

Access URL: http://arxiv.org/abs/2404.16064

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision

Authors: Ma, Yingbo, Kolla, Suraj, Hu, Zhenhong, Kaliraman, Dhruv, Nolan, Victoria, Guan, Ziyuan, Ren, Yuanfang, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Balch, Jeremy A., Loftus, Tyler J., Rashidi, Parisa, Bihorac, Azra, Shickel, Benjamin

Subject Terms: Computer Science - Machine Learning, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2404.06723

Federated learning model for predicting major postoperative complications

Authors: Park, Yonggi, Ren, Yuanfang, Shickel, Benjamin, Guan, Ziyuan, Patela, Ayush, Ma, Yingbo, Hu, Zhenhong, Loftus, Tyler J., Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society

Access URL: http://arxiv.org/abs/2404.06641

Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study

Authors: Adiyeke, Esra, Ren, Yuanfang, Fogel, Shmuel, Rashidi, Parisa, Segal, Mark, Shenkman, Elizabeth A., Bihorac, Azra, Ozrazgat-Baslanti, Tezcan

Subject Terms: Statistics - Applications

Access URL: http://arxiv.org/abs/2403.08020

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records

Authors: Ma, Yingbo, Kolla, Suraj, Kaliraman, Dhruv, Nolan, Victoria, Hu, Zhenhong, Guan, Ziyuan, Ren, Yuanfang, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Rashidi, Parisa, Bihorac, Azra, Shickel, Benjamin

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.04012

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study

Authors: Adiyeke, Esra, Ren, Yuanfang, Shickel, Benjamin, Ruppert, Matthew M., Guan, Ziyuan, Kane-Gill, Sandra L., Murugan, Raghavan, Amatullah, Nabihah, Stottlemyer, Britney A., Tran, Tiffany L., Ricketts, Dan, Horvat, Christopher M, Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2402.04209

The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU)

Authors: Sena, Jessica, Mostafiz, Mohammad Tahsin, Zhang, Jiaqing, Davidson, Andrea, Bandyopadhyay, Sabyasachi, Yuanfang, Ren, Ozrazgat-Baslanti, Tezcan, Shickel, Benjamin, Loftus, Tyler, Schwartz, William Robson, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Signal Processing

Access URL: http://arxiv.org/abs/2311.02251

APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model

Authors: Contreras, Miguel, Silva, Brandon, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Ren, Yuanfang, Guan, Ziyuan, Balch, Jeremy, Zhang, Jiaqing, Bandyopadhyay, Sabyasachi, Khezeli, Kia, Bihorac, Azra, Rashidi, Parisa

Subject Terms: Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2311.02026

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

Authors: Ren, Yuanfang, Li, Yanjun, Loftus, Tyler J., Balch, Jeremy, Abbott, Kenneth L., Datta, Shounak, Ruppert, Matthew M., Guan, Ziyuan, Shickel, Benjamin, Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra

Subject Terms: Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/2307.15719

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit

Authors: Ren, Yuanfang, Loftus, Tyler J., Guan, Ziyuan, Uddin, Rayon, Shickel, Benjamin, Maciel, Carolina B., Busl, Katharina, Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2303.05504

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis

Authors: Adiyeke, Esra, Ren, Yuanfang, Guan, Ziyuan, Ruppert, Matthew M., Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2303.06071

Pain and Physical Activity Association in Critically Ill Patients

Authors: Davoudi, Anis, Ozrazgat-Baslanti, Tezcan, Tighe, Patrick J., Bihorac, Azra, Rashidi, Parisa

Source: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2020 42nd Annual International Conference of the IEEE. :5696-5699 Jul, 2020

Relation: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society