| Performance of a machine learning algorithm using electronic health record data to predict postoperative complications and report on a mobile platform Y Ren, TJ Loftus, S Datta, MM Ruppert, Z Guan, S Miao, B Shickel, Z Feng, ... JAMA Network Open 5 (5), e2211973-e2211973, 2022 | 37 | 2022 |
| Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks B Shickel, B Silva, T Ozrazgat-Baslanti, Y Ren, K Khezeli, Z Guan, ... Frontiers in Digital Health 4, 1029191, 2022 | 9 | 2022 |
| Machine learning–enabled clinical information systems using fast healthcare interoperability resources data standards: scoping review JA Balch, MM Ruppert, TJ Loftus, Z Guan, Y Ren, GR Upchurch, ... JMIR Medical Informatics 11, e48297, 2023 | 6 | 2023 |
| AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing S Nerella, Z Guan, S Siegel, J Zhang, K Khezeli, A Bihorac, P Rashidi arXiv preprint arXiv:2303.06252, 2023 | 3 | 2023 |
| Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit Y Ren, TJ Loftus, Z Guan, R Uddin, B Shickel, CB Maciel, K Busl, ... arXiv preprint arXiv:2303.05504, 2023 | 2 | 2023 |
| Application of deep interpolation network for clustering of physiologic time series Y Li, Y Ren, TJ Loftus, S Datta, M Ruppert, Z Guan, D Wu, P Rashidi, ... arXiv preprint arXiv:2004.13066, 2020 | 2 | 2020 |
| A multi-cohort study on prediction of acute brain dysfunction states using selective state space models B Silva, M Contreras, S Bandyopadhyay, Y Ren, Z Guan, J Balch, ... arXiv preprint arXiv:2403.07201, 2024 | 1 | 2024 |
| Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records Y Ma, S Kolla, D Kaliraman, V Nolan, Z Hu, Z Guan, Y Ren, B Armfield, ... arXiv preprint arXiv:2403.04012, 2024 | 1 | 2024 |
| Physiologic signatures within six hours of hospitalization identify acute illness phenotypes Y Ren, TJ Loftus, Y Li, Z Guan, MM Ruppert, S Datta, GR Upchurch Jr, ... PLOS digital health 1 (10), e0000110, 2022 | 1 | 2022 |
| Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications Y Ren, C Tripathi, Z Guan, R Zhu, V Hougha, Y Ma, Z Hu, J Balch, ... arXiv preprint arXiv:2404.16064, 2024 | | 2024 |
| Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision Y Ma, S Kolla, Z Hu, D Kaliraman, V Nolan, Z Guan, Y Ren, B Armfield, ... arXiv preprint arXiv:2404.06723, 2024 | | 2024 |
| Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures Y Ren, Y Li, TJ Loftus, J Balch, KL Abbott, MM Ruppert, Z Guan, B Shickel, ... Scientific Reports 14 (1), 8442, 2024 | | 2024 |
| Federated learning model for predicting major postoperative complications Y Park, Y Ren, B Shickel, Z Guan, A Patela, Y Ma, Z Hu, TJ Loftus, ... arXiv preprint arXiv:2404.06641, 2024 | | 2024 |
| Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study E Adiyeke, Y Ren, B Shickel, MM Ruppert, Z Guan, SL Kane-Gill, ... arXiv preprint arXiv:2402.04209, 2024 | | 2024 |
| Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data J Sena, S Bandyopadhyay, MT Mostafiz, A Davidson, Z Guan, J Barreto, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies M Contreras, B Silva, B Shickel, TO Baslanti, Y Ren, Z Guan, ... arXiv preprint arXiv:2311.02026, 2023 | | 2023 |
| Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status S Nerella, Z Guan, A Davidson, Y Ren, T Baslanti, B Armfield, P Tighe, ... arXiv preprint arXiv:2311.00565, 2023 | | 2023 |
| Clinical courses of acute kidney injury in hospitalized patients: a multistate analysis E Adiyeke, Y Ren, Z Guan, MM Ruppert, P Rashidi, A Bihorac, ... Scientific Reports 13 (1), 17781, 2023 | | 2023 |
| Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records M Contreras, B Silva, B Shickel, S Bandyopadhyay, Z Guan, Y Ren, ... 2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023 | | 2023 |
| Predicting risk of delirium from ambient noise and light information in the ICU S Bandyopadhyay, A Cecil, J Sena, A Davidson, Z Guan, S Nerella, ... arXiv preprint arXiv:2303.06253, 2023 | | 2023 |
Parisa RashidiUniversity of FloridaVerified email at ufl.edu
