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Sonish Sivarajkumar
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing
S Sivarajkumar, Y Wang
AMIA Annual Symposium, 2022
462022
Breakthroughs and applications of organ-on-a-chip technology
MC Koyilot, P Natarajan, CR Hunt, S Sivarajkumar, R Roy, S Joglekar, ...
Cells 11 (11), 1828, 2022
432022
An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing: algorithm development and validation study
S Sivarajkumar, M Kelley, A Samolyk-Mazzanti, S Visweswaran, Y Wang
JMIR Medical Informatics 12, e55318, 2024
232024
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study
D Oniani, P Chandrasekar, S Sivarajkumar, Y Wang
JMIR AI 2, e44293, 2023
9*2023
Relu— The most popular activation function for deep neural networks
S Sivarajkumar
arXiv preprint, 2019
82019
Clinical Information Retrieval: A Literature Review
S Sivarajkumar, HA Mohammad, D Oniani, K Roberts, W Hersh, H Liu, ...
Journal of Healthcare Informatics Research, 1-40, 2024
32024
Evaluation of Healthprompt for Zero-shot Clinical Text Classification
S Sivarajkumar, Y Wang
IEEE International Conference on Healthcare Informatics (ICHI), 2023
22023
Classification and regression trees
S Sivarajkumar
Medium. com. https://medium. com/@ sonish. sivarajkumar/classification-and …, 0
2
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
S Sivarajkumar, F Gao, PE Denny, BM Aldhahwani, A Bove, ...
JMIR Medical Informatics 12, e52289, 2024
12024
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records
S Sivarajkumar, Y Huang, Y Wang
Journal of Biomedical Informatics 148, 2023
12023
Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing
HA Mohammad, S Sivarajkumar, S Viggiano, D Oniani, S Visweswaran, ...
arXiv preprint arXiv:2204.09601, 2022
12022
Automating the detection of treatment progression in patients with lung cancer using large language models.
S Sivarajkumar, S Edupuganti, M Bhattacharya, D Lazris, M Davis, ...
Journal of Clinical Oncology 42 (16_suppl), e13620-e13620, 2024
2024
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts
Y Ji, Z Li, R Meng, S Sivarajkumar, Y Wang, Z Yu, H Ji, Y Han, H Zeng, ...
arXiv preprint arXiv:2405.13179, 2024
2024
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
F Gao, X Zhang, S Sivarajkumar, P Denny, B Aldhahwani, S Visweswaran, ...
arXiv preprint arXiv:2405.05993, 2024
2024
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare
TYC Tam, S Sivarajkumar, S Kapoor, AV Stolyar, K Polanska, ...
arXiv preprint arXiv:2405.02559, 2024
2024
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare
TY Chow Tam, S Sivarajkumar, S Kapoor, AV Stolyar, K Polanska, ...
arXiv e-prints, arXiv: 2405.02559, 2024
2024
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
S Sivarajkumar, P Tandale, A Bhardwaj, KW Johnson, A Titus, ...
arXiv preprint arXiv:2311.17969, 2023
2023
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques
S Sivarajumar, F Gao, PE Denny, BM Aldhahwani, A Bove, ...
arXiv preprint arXiv:2303.13466, 2023
2023
A Counterfactual-based Explanation Framework for Large Language Models in Clinical Natural Language Processing
S Sivarajkumar, Y Wang
2023
Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing
S Sivarajkumar, TY CHow Tam, H Ahamed Mohammad, S Viggiano, ...
arXiv e-prints, arXiv: 2204.09601, 2022
2022
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