Yuanfang Ren

According to our database, Yuanfang Ren authored at least 35 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

CoRR, 2024

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

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

CoRR, 2024

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications.

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

CoRR, 2024

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision.

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

CoRR, 2024

Federated learning model for predicting major postoperative complications.

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

CoRR, 2024

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models.

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

CoRR, 2024

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

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

CoRR, 2024

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

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

CoRR, 2024

2023

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

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

CoRR, 2023

APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies.

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

CoRR, 2023

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status.

Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi

CoRR, 2023

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

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

CoRR, 2023

Transformer Models for Acute Brain Dysfunction Prediction.

Brandon Silva, Miguel Contreras, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Kia Khezeli, Azra Bihorac, Parisa Rashidi

CoRR, 2023

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

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

CoRR, 2023

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

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

CoRR, 2023

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

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Pattern Discovery in Multilayer Networks.

Yuanfang Ren, Aisharjya Sarkar, Pierangelo Veltri, Ahmet Ay, Alin Dobra, Tamer Kahveci

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Phenotype clustering in health care: A narrative review for clinicians.

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

Frontiers Artif. Intell., 2022

Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.

Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac, Parisa Rashidi

Frontiers Digit. Health, 2022

Identification of co-existing embeddings of a motif in multilayer networks.

Yuanfang Ren, Aisharjya Sarkar, Aysegul Bumin, Kejun Huang, Pierangelo Veltri, Alin Dobra, Tamer Kahveci

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2020

Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit.

Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti

CoRR, 2020

Application of Deep Interpolation Network for Clustering of Physiologic Time Series.

Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

CoRR, 2020

2019

A New Algorithm for Counting Independent Motifs in Probabilistic Networks.

Aisharjya Sarkar, Yuanfang Ren, Rasha Elhesha, Tamer Kahveci

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension.

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

CoRR, 2019

Characterizing building blocks of resource constrained biological networks.

Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci

BMC Bioinform., 2019

Finding Conserved Patterns in Multilayer Networks.

Yuanfang Ren, Aisharjya Sarkar, Ahmet Ay, Alin Dobra, Tamer Kahveci

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018

Identification of jointly correlated gene sets.

Yuanfang Ren, Ahmet Ay, Travis A. Gerke, Tamer Kahveci

J. Bioinform. Comput. Biol., 2018

ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies.

Yuanfang Ren, Aisharjya Sarkar, Tamer Kahveci

BMC Bioinform., 2018

Shortest path counting in probabilistic biological networks.

Yuanfang Ren, Ahmet Ay, Tamer Kahveci

BMC Bioinform., 2018

2016

Identifying the topology of signaling networks from partial RNAi data.

Yuanfang Ren, Qiyao Wang, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci

BMC Syst. Biol., 2016

Counting independent motifs in probabilistic networks.

Aisharjya Sarkar, Yuanfang Ren, Rasha Elhesha, Tamer Kahveci

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

Construction of signaling networks with incomplete RNAi data.

Qiyao Wang, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

A co-training algorithm for EEG classification with biomimetic pattern recognition and sparse representation.

Yuanfang Ren, Yan Wu, Yanbin Ge

Neurocomputing, 2014

Convolutional deep belief networks for feature extraction of EEG signal.

Yuanfang Ren, Yan Wu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

An efficient algorithm for high-dimensional function optimization.

Yuanfang Ren, Yan Wu

Soft Comput., 2013