Shaika Chowdhury

According to our database, Shaika Chowdhury authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction.

Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong

J. Am. Medical Informatics Assoc., 2024

2023

Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction.

Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong

CoRR, 2023

Evaluating Drug Effectiveness for Antihypertensives in Heart Failure Prognosis: Leveraging Composite Clinical Endpoints and Biomarkers from Electronic Health Records.

Shaika Chowdhury, Yongbin Chen, Xiao Ma, Qiying Dai, Yue Yu, Nansu Zong

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

BETA: a comprehensive benchmark for computational drug-target prediction.

Nansu Zong, Ning Li, Andrew Wen, Victoria Ngo, Yue Yu, Ming Huang, Shaika Chowdhury, Chao Jiang, Sunyang Fu, Richard Weinshilboum, Guoqian Jiang, Lawrence Hunter, Hongfang Liu

Briefings Bioinform., 2022

2021

Ensemble Fine-tuned mBERT for Translation Quality Estimation.

Shaika Chowdhury, Naouel Baili, Brian Vannah

Proceedings of the Sixth Conference on Machine Translation, 2021

MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports.

Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering.

Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

CoRR, 2020

Improving Medical NLI Using Context-Aware Domain Knowledge.

Shaika Chowdhury, Philip S. Yu, Yuan Luo

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Med2Meta: Learning Representations of Medical Concepts with Meta-embeddings.

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction.

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

CoRR, 2019

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare.

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu, Yuan Luo

CoRR, 2019

2018

Multi-Task Pharmacovigilance Mining from Social Media Posts.

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018