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Yuanfang Ren
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2020 – today
- 2024
- [i17]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 abs/2402.04209 (2024) - [i16]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 abs/2403.04012 (2024) - [i15]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) - [i14]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 abs/2404.06641 (2024) - [i13]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 abs/2404.06723 (2024) - [i12]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 abs/2404.16064 (2024) - [i11]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 abs/2407.18939 (2024) - 2023
- [c7]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 - [i10]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 abs/2303.05504 (2023) - [i9]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 abs/2303.06071 (2023) - [i8]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 abs/2303.07305 (2023) - [i7]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 abs/2307.15719 (2023) - [i6]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 abs/2311.00565 (2023) - [i5]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) - [i4]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) - 2022
- [j11]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) - [j10]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) - [j9]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): 741-752 (2022) - [c6]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: 39:1-39:10 - 2020
- [i3]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 abs/2004.13066 (2020) - [i2]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 abs/2005.05163 (2020)
2010 – 2019
- 2019
- [j8]Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci:
Characterizing building blocks of resource constrained biological networks. BMC Bioinform. 20-S(12): 318:1-318:14 (2019) - [j7]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): 1049-1062 (2019) - [c5]Yuanfang Ren, Aisharjya Sarkar, Ahmet Ay, Alin Dobra, Tamer Kahveci:
Finding Conserved Patterns in Multilayer Networks. BCB 2019: 97-102 - [i1]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 abs/1910.12895 (2019) - 2018
- [j6]Yuanfang Ren, Aisharjya Sarkar, Tamer Kahveci:
ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies. BMC Bioinform. 19(1): 242:1-242:17 (2018) - [j5]Yuanfang Ren, Ahmet Ay, Tamer Kahveci:
Shortest path counting in probabilistic biological networks. BMC Bioinform. 19(1): 465:1-465:19 (2018) - [j4]Yuanfang Ren, Ahmet Ay, Travis A. Gerke, Tamer Kahveci:
Identification of jointly correlated gene sets. J. Bioinform. Comput. Biol. 16(5): 1840019:1-1840019:23 (2018) - [c4]Yuanfang Ren, Ahmet Ay, Alin Dobra, Tamer Kahveci:
Characterizing Building Blocks of Resource Constrained Biological Networks. BCB 2018: 581-582 - 2016
- [j3]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): 53 (2016) - [c3]Aisharjya Sarkar, Yuanfang Ren, Rasha Elhesha, Tamer Kahveci:
Counting independent motifs in probabilistic networks. BCB 2016: 231-240 - 2015
- [c2]Qiyao Wang, Yuanfang Ren, Md Mahmudul Hasan, Ahmet Ay, Tamer Kahveci:
Construction of signaling networks with incomplete RNAi data. BIBM 2015: 157-162 - 2014
- [j2]Yuanfang Ren, Yan Wu, Yanbin Ge:
A co-training algorithm for EEG classification with biomimetic pattern recognition and sparse representation. Neurocomputing 137: 212-222 (2014) - [c1]Yuanfang Ren, Yan Wu:
Convolutional deep belief networks for feature extraction of EEG signal. IJCNN 2014: 2850-2853 - 2013
- [j1]Yuanfang Ren, Yan Wu:
An efficient algorithm for high-dimensional function optimization. Soft Comput. 17(6): 995-1004 (2013)
Coauthor Index
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