Yuanfang Ren

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 32

Top Topics

Wearable Sensors

Probabilistic Networks

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Brandon Silva, Miguel Contreras, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Kia Khezeli, Azra Bihorac, Parisa Rashidi
Transformer Models for Acute Brain Dysfunction Prediction. CoRR (2023)
Subhash Nerella, Ziyuan Guan, Andrea Davidson, Yuanfang Ren, Tezcan Baslanti, Brooke Armfield, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status. CoRR (2023)
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 (2023)
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 (2023)
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)
Yuanfang Ren, Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel, Katharina Busl, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR (2023)
Esra Adiyeke, Yuanfang Ren, Ziyuan Guan, Matthew M. Ruppert, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis. CoRR (2023)
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
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR (2023)
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
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022)
Benjamin Shickel, Brandon Silva, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Kia Khezeli, Ziyuan Guan, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks. Frontiers Digit. Health 4 (2022)
Yuanfang Ren, Aisharjya Sarkar, Pierangelo Veltri, Ahmet Ay, Alin Dobra, Tamer Kahveci
Pattern Discovery in Multilayer Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Yuanfang Ren, Aisharjya Sarkar, Aysegul Bumin, Kejun Huang, Pierangelo Veltri, Alin Dobra, Tamer Kahveci
Identification of co-existing embeddings of a motif in multilayer networks. BCB (2022)
Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR (2020)
Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. CoRR (2020)
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 (2019)
Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci
Characterizing building blocks of resource constrained biological networks. BMC Bioinform. (12) (2019)
Aisharjya Sarkar, Yuanfang Ren, Rasha Elhesha, Tamer Kahveci
A New Algorithm for Counting Independent Motifs in Probabilistic Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Yuanfang Ren, Aisharjya Sarkar, Ahmet Ay, Alin Dobra, Tamer Kahveci
Finding Conserved Patterns in Multilayer Networks. BCB (2019)
Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci
Characterizing Building Blocks of Resource Constrained Biological Networks. BCB (2018)
Yuanfang Ren, Ahmet Ay, Travis A. Gerke, Tamer Kahveci
Identification of jointly correlated gene sets. J. Bioinform. Comput. Biol. 16 (5) (2018)
Yuanfang Ren, Aisharjya Sarkar, Tamer Kahveci
ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies. BMC Bioinform. 19 (1) (2018)
Yuanfang Ren, Ahmet Ay, Tamer Kahveci
Shortest path counting in probabilistic biological networks. BMC Bioinform. 19 (1) (2018)
Yuanfang Ren, Qiyao Wang, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci
Identifying the topology of signaling networks from partial RNAi data. BMC Syst. Biol. 10 (S-2) (2016)
Aisharjya Sarkar, Yuanfang Ren, Rasha Elhesha, Tamer Kahveci
Counting independent motifs in probabilistic networks. BCB (2016)
Qiyao Wang, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci
Construction of signaling networks with incomplete RNAi data. BIBM (2015)
Yuanfang Ren, Yan Wu
Convolutional deep belief networks for feature extraction of EEG signal. IJCNN (2014)
Yuanfang Ren, Yan Wu, Yanbin Ge
A co-training algorithm for EEG classification with biomimetic pattern recognition and sparse representation. Neurocomputing 137 (2014)
Yuanfang Ren, Yan Wu
An efficient algorithm for high-dimensional function optimization. Soft Comput. 17 (6) (2013)