Search Results - "Sivarajkumar, Sonish"

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study by Oniani, David, Chandrasekar, Premkumar, Sivarajkumar, Sonish, Wang, Yanshan

“…Natural language processing (NLP) has become an emerging technology in health care that leverages a large amount of free-text data in electronic health records…”
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An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study by Sivarajkumar, Sonish, Kelley, Mark, Samolyk-Mazzanti, Alyssa, Visweswaran, Shyam, Wang, Yanshan

“…Large language models (LLMs) have shown remarkable capabilities in natural language processing (NLP), especially in domains where labeled data are scarce or…”
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Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study by Sivarajkumar, Sonish, Gao, Fengyi, Denny, Parker, Aldhahwani, Bayan, Visweswaran, Shyam, Bove, Allyn, Wang, Yanshan

“…The rehabilitation of a patient who had a stroke requires precise, personalized treatment plans. Natural language processing (NLP) offers the potential to…”
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Breakthroughs and Applications of Organ-on-a-Chip Technology by Koyilot, Mufeeda C, Natarajan, Priyadarshini, Hunt, Clayton R, Sivarajkumar, Sonish, Roy, Romy, Joglekar, Shreeram, Pandita, Shruti, Tong, Carl W, Marakkar, Shamsudheen, Subramanian, Lakshminarayanan, Yadav, Shalini S, Cherian, Anoop V, Pandita, Tej K, Shameer, Khader, Yadav, Kamlesh K

“…Organ-on-a-chip (OOAC) is an emerging technology based on microfluid platforms and in vitro cell culture that has a promising future in the healthcare…”
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A framework for human evaluation of large language models in healthcare derived from literature review by Tam, Thomas Yu Chow, Sivarajkumar, Sonish, Kapoor, Sumit, Stolyar, Alisa V., Polanska, Katelyn, McCarthy, Karleigh R., Osterhoudt, Hunter, Wu, Xizhi, Visweswaran, Shyam, Fu, Sunyang, Mathur, Piyush, Cacciamani, Giovanni E., Sun, Cong, Peng, Yifan, Wang, Yanshan

“…With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human…”
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Fair patient model: Mitigating bias in the patient representation learned from the electronic health records by Sivarajkumar, Sonish, Huang, Yufei, Wang, Yanshan

“…To pre-train fair and unbiased patient representations from Electronic Health Records (EHRs) using a novel weighted loss function that reduces bias and…”
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing by Sivarajkumar, Sonish, Wang, Yanshan

“…Developing clinical natural language systems based on machine learning and deep learning is dependent on the availability of large-scale annotated clinical…”
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing by Sivarajkumar, Sonish, Wang, Yanshan

“…Developing clinical natural language systems based on machine learning and deep learning is dependent on the availability of large-scale annotated clinical…”
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Automating the detection of treatment progression in patients with lung cancer using large language models by Sivarajkumar, Sonish, Edupuganti, Subhash, Bhattacharya, Manisha, Lazris, David, Davis, Michael, Huang, Yufei, Wang, Yanshan

“…e13620 Background: Accurate assessment of treatment response is fundamental to advancing cancer patient care, particularly in lung cancer, where treatment…”
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Extraction of sleep information from clinical notes of Alzheimer’s disease patients using natural language processing by Sivarajkumar, Sonish, Tam, Thomas Yu Chow, Mohammad, Haneef Ahamed, Viggiano, Samuel, Oniani, David, Visweswaran, Shyam, Wang, Yanshan

“…Abstract Objectives Alzheimer’s disease (AD) is the most common form of dementia in the United States. Sleep is one of the lifestyle-related factors that has…”
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Clinical Information Retrieval: A Literature Review by Sivarajkumar, Sonish, Mohammad, Haneef Ahamed, Oniani, David, Roberts, Kirk, Hersh, William, Liu, Hongfang, He, Daqing, Visweswaran, Shyam, Wang, Yanshan

“…Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating efficient access and analysis of medical literature for clinicians…”
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Evaluation of Healthprompt for Zero-shot Clinical Text Classification by Sivarajkumar, Sonish, Wang, Yanshan

“…This paper presents an evaluation of the Healthprompt, a prompt-based zero-shot clinical text classification framework. The lack of publicly available datasets…”
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HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing by Sivarajkumar, Sonish, Wang, Yanshan

“…Deep learning algorithms are dependent on the availability of large-scale annotated clinical text datasets. The lack of such publicly available datasets is the…”
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Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records by Sivarajkumar, Sonish, Huang, Yufei, Wang, Yanshan

“…Objective: To pre-train fair and unbiased patient representations from Electronic Health Records (EHRs) using a novel weighted loss function that reduces bias…”
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Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks by Oniani, David, Sivarajkumar, Sonish, Wang, Yanshan

“…Clinical Natural Language Processing (NLP) has become an emerging technology in healthcare that leverages a large amount of free-text data in electronic health…”
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Mitigating the Risk of Health Inequity Exacerbated by Large Language Models by Ji, Yuelyu, Ma, Wenhe, Sivarajkumar, Sonish, Zhang, Hang, Sadhu, Eugene Mathew, Li, Zhuochun, Wu, Xizhi, Visweswaran, Shyam, Wang, Yanshan

“…Recent advancements in large language models have demonstrated their potential in numerous medical applications, particularly in automating clinical trial…”
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An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing by Sivarajkumar, Sonish, Kelley, Mark, Samolyk-Mazzanti, Alyssa, Visweswaran, Shyam, Wang, Yanshan

“…Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or…”
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RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts by Ji, Yuelyu, Li, Zhuochun, Meng, Rui, Sivarajkumar, Sonish, Wang, Yanshan, Yu, Zeshui, Ji, Hui, Han, Yushui, Zeng, Hanyu, He, Daqing

“…This paper introduces the RAG-RLRC-LaySum framework, designed to make complex biomedical research understandable to laymen through advanced Natural Language…”
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Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning by Gao, Fengyi, Zhang, Xingyu, Sivarajkumar, Sonish, Denny, Parker, Aldhahwani, Bayan, Visweswaran, Shyam, Shi, Ryan, Hogan, William, Bove, Allyn, Wang, Yanshan

“…In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke…”
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Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study by Sivarajkumar, Sonish, Gao, Fengyi, Denny, Parker E, Aldhahwani, Bayan M, Visweswaran, Shyam, Bove, Allyn, Wang, Yanshan

“…Post-stroke patient rehabilitation requires precise, personalized treatment plans. Natural Language Processing (NLP) offers potential to extract valuable…”
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