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Shubo TIAN
Shubo TIAN
NCBI
nih.gov의 이메일 확인됨
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Opportunities and challenges for ChatGPT and large language models in biomedicine and health
S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ...
Briefings in Bioinformatics 25 (1), bbad493, 2024
2142024
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
CH Wei, A Allot, PT Lai, R Leaman, S Tian, L Luo, Q Jin, Z Wang, Q Chen, ...
Nucleic Acids Research, gkae235, 2024
362024
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Q Chen, A Allot, R Leaman, R Islamaj, J Du, L Fang, K Wang, S Xu, ...
Database 2022, baac069, 2022
352022
Transformer-based named entity recognition for parsing clinical trial eligibility criteria
S Tian, A Erdengasileng, X Yang, Y Guo, Y Wu, J Zhang, J Bian, Z He
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
292021
Towards interpretable multimodal predictive models for early mortality prediction of hemorrhagic stroke patients
FB Emdad, S Tian, E Nandy, K Hanna, Z He
AMIA Summits on Translational Science Proceedings 2023, 128, 2023
172023
Deep learning-based predictions of older adults' adherence to cognitive training to support training efficacy
A Singh, S Chakraborty, Z He, S Tian, S Zhang, MLA Lustria, N Charness, ...
Frontiers in Psychology 13, 980778, 2022
172022
A machine-learning based approach for predicting older adults’ adherence to technology-based cognitive training
Z He, S Tian, A Singh, S Chakraborty, S Zhang, MLA Lustria, N Charness, ...
Information processing & management 59 (5), 103034, 2022
142022
Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study
Z He, B Bhasuran, Q Jin, S Tian, K Hanna, C Shavor, LG Arguello, ...
Journal of Medical Internet Research 26, e56655, 2024
13*2024
Motivation to engage in aging research: are there typologies and predictors?
DC Carr, S Tian, Z He, S Chakraborty, M Dieciuc, N Gray, ...
The Gerontologist 62 (10), 1466-1476, 2022
122022
Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification
A Erdengasileng, Q Han, T Zhao, S Tian, X Sui, K Li, W Wang, J Wang, ...
Database 2022, baac066, 2022
92022
A PubMedBERT-based classifier with data augmentation strategy for detecting medication mentions in tweets
Q Han, S Tian, J Zhang
arXiv preprint arXiv:2112.02998, 2021
92021
A BERT-based hybrid system for chemical identification and indexing in full-text articles
A Erdengasileng, K Li, Q Han, S Tian, J Wang, T Hu, J Zhang
bioRxiv, 2021.10. 27.466183, 2021
62021
BioKG: a comprehensive, large-scale biomedical knowledge graph for AI-powered, data-driven biomedical research
Y Zhang, X Sui, F Pan, K Yu, K Li, S Tian, A Erdengasileng, Q Han, ...
bioRxiv, 2023
52023
Large language models in biomedicine and health: current research landscape and future directions
Z Lu, Y Peng, T Cohen, M Ghassemi, C Weng, S Tian
Journal of the American Medical Informatics Association 31 (9), 1801-1811, 2024
42024
Temporal Subtyping of Alzheimer’s Disease Using Medical Conditions Preceding Alzheimer’s Disease Onset in Electronic Health Records
Z He, S Tian, A Erdengasileng, N Charness, J Bian
AMIA Summits on Translational Science Proceedings 2022, 226, 2022
42022
Team FSU2021 at BioCreative VII LitCovid Track: BERT-based models using different strategies for topic annotation of COVID-19 literature
S Tian, J Zhang
Proceedings of the seventh BioCreative challenge evaluation workshop, 2021
32021
GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases
Z Wang, Q Jin, CH Wei, S Tian, PT Lai, Q Zhu, CP Day, C Ross, Z Lu
arXiv preprint arXiv:2405.16205, 2024
22024
Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model
S Tian, P Yin, H Zhang, A Erdengasileng, J Bian, Z He
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
22023
Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches
MO Killian, S Tian, A Xing, D Hughes, D Gupta, X Wang, Z He
JMIR cardio 7, e45352, 2023
22023
Using Twitter data analysis to understand the perceptions, awareness, and barriers to the wide use of pre-exposure prophylaxis in the United States
A Erdengasileng, S Tian, SS Green, S Naar, Z He
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022
22022
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