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Yikuan Li
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2020 – today
- 2024
- [j11]Chenxiao Wang, Baichun Hu, Yi Yang, Yihan Wang, Juyue Qin, Xiaolian Wen, Yikuan Li, Hui Li, Yutong Wang, Jian Wang, Yang Liu:
Structural simulation and selective inhibitor discovery study for histone demethylases KDM4E/6B from a computational perspective. Comput. Biol. Chem. 110: 108072 (2024) - [j10]Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5027-5038 (2024) - 2023
- [j9]Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo:
A comparative study of pretrained language models for long clinical text. J. Am. Medical Informatics Assoc. 30(2): 340-347 (2023) - [j8]Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo:
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. J. Am. Medical Informatics Assoc. 30(5): 923-931 (2023) - [j7]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144: 104442 (2023) - [j6]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27(2): 1106-1117 (2023) - [c5]Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang:
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. ICLR 2023 - [i21]Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo:
A Comparative Study of Pretrained Language Models for Long Clinical Text. CoRR abs/2301.11847 (2023) - [i20]Zheng Yu, Yikuan Li, Joseph C. Kim, Kaixuan Huang, Yuan Luo, Mengdi Wang:
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis. CoRR abs/2302.10261 (2023) - [i19]Yikuan Li, Chengsheng Mao, Kaixuan Huang, Hanyin Wang, Zheng Yu, Mengdi Wang, Yuan Luo:
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources. CoRR abs/2309.08560 (2023) - [i18]Yikuan Li, Hanyin Wang, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Yuan Luo:
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study. CoRR abs/2310.12989 (2023) - 2022
- [j5]Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo:
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants. BMC Medical Informatics Decis. Mak. 22(1): 156 (2022) - [j4]Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo:
Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine 5 (2022) - [j3]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics 26(7): 3362-3372 (2022) - [i17]Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo:
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences. CoRR abs/2201.11838 (2022) - [i16]Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi:
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records. CoRR abs/2202.03487 (2022) - [i15]Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo:
Multimodal Machine Learning in Precision Health. CoRR abs/2204.04777 (2022) - [i14]Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR abs/2205.07234 (2022) - [i13]Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo:
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR abs/2207.10641 (2022) - [i12]Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR abs/2212.06042 (2022) - 2021
- [c4]Jiyoung Shin, Yikuan Li, Yuan Luo:
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. BIBM 2021: 2885-2890 - [i11]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR abs/2101.11359 (2021) - [i10]Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz:
Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR abs/2102.12936 (2021) - [i9]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR abs/2106.11360 (2021) - [i8]José Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaïne, Shishir Rao, Yikuan Li, Mohammad Mamouei, Dexter Canoy, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Transfer Learning in Electronic Health Records through Clinical Concept Embedding. CoRR abs/2107.12919 (2021) - [i7]Jiyoung Shin, Yikuan Li, Yuan Luo:
Early Prediction of Mortality in Critical Care Setting in Sepsis Patients Using Structured Features and Unstructured Clinical Notes. CoRR abs/2112.01230 (2021) - [i6]Hanyin Wang, Yikuan Li, Andrew Naidech, Yuan Luo:
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients. CoRR abs/2112.08224 (2021) - 2020
- [j2]Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo:
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network. Artif. Intell. Medicine 110: 101977 (2020) - [j1]Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Mariagrazia Zottoli, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation. J. Biomed. Informatics 112: 103606 (2020) - [c3]Yikuan Li, Hanyin Wang, Yuan Luo:
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. BIBM 2020: 1999-2004 - [i5]Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi:
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR abs/2003.10170 (2020) - [i4]Yikuan Li, Hanyin Wang, Yuan Luo:
A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports. CoRR abs/2009.01523 (2020)
2010 – 2019
- 2019
- [c2]Hanyin Wang, Yikuan Li, Hongyan Ning, John Wilkins, Donald Lloyd-Jones, Yuan Luo:
Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk. MedInfo 2019: 433-437 - [i3]Abdelaali Hassaïne, Dexter Canoy, José Roberto Ayala Solares, Yajie Zhu, Shishir Rao, Yikuan Li, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation. CoRR abs/1907.08577 (2019) - [i2]Yikuan Li, Shishir Rao, José Roberto Ayala Solares, Abdelaali Hassaïne, Dexter Canoy, Yajie Zhu, Kazem Rahimi, Gholamreza Salimi Khorshidi:
BEHRT: Transformer for Electronic Health Records. CoRR abs/1907.09538 (2019) - 2018
- [c1]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. BIBM 2018: 683-686 - [i1]Yikuan Li, Liang Yao, Chengsheng Mao, Anand Srivastava, Xiaoqian Jiang, Yuan Luo:
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. CoRR abs/1811.02757 (2018)
Coauthor Index
aka: Gholamreza Salimi-Khorshidi
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last updated on 2024-10-07 21:15 CEST by the dblp team
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