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检索条件"机构=Section of Biomedical Informatics and Data Science"
117 条 记 录,以下是31-40 订阅
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Stroke Prediction Using Machine Learning
Stroke Prediction Using Machine Learning
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International Conference on Advances in Electronics, Computers and Communications (ICAECC)
作者: Abinandhini D M Aman Kumar Gudi Vishnu Teja Mandava Sukesh Divya S Naman Chauhan I R Oviya Kalpana Raja Department of Computer Science and Engineering (Artificial Intelligence) Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
A stroke is a serious medical emergency that happens when bleeding or blood clots cut off the blood flow to a part of the brain. With a mortality rate of 5.5 million per year, it ranks as the second leading cause of d... 详细信息
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ML Based Phenotype Analysis Using Differential Gene Expression data in Schizophrenia
ML Based Phenotype Analysis Using Differential Gene Expressi...
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Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), International Conference on
作者: Aadhithyan D Shabarirajan KJ Varun Maniappan Shivanesh B Divya S Praghaadeesh R Kalpana Raja I R Oviya Department of Computer Science and Engineering (Artificial Intelligence) Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
In this paper, differential gene expression (DGE) data in schizophrenia is analysed using machine learning approaches with the objective of predicting cell phenotypes related to the condition. The dataset contains inf... 详细信息
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Elevating Ocular Diagnosis: Harnessing the Power of EfficientNet for Eye Disease Classification
Elevating Ocular Diagnosis: Harnessing the Power of Efficien...
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Artificial Intelligence For Internet of Things (AIIoT), International Conference on
作者: Vankadari Mohith Kalpana Raja I. R. Oviya Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven USA
In response to the evolving landscape of healthcare technology this study addresses the need for automated diagnostic tools in the field of ophthalmology. By utilizing deep learning methods specifically leveraging the... 详细信息
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EMPATHIC: Emulating Human-Like Multimodal Personality Architecture Through Thoughtful Human-AI Conversation
EMPATHIC: Emulating Human-Like Multimodal Personality Archit...
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International Conference on Confluence The Next Generation Information Technology Summit (Confluence)
作者: Varshini Devi I I. R. Oviya Kalpana Raja Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
In the evolving landscape of human-computer interaction, this paper introduces an innovative framework poised to revolutionize chatbot systems. Our framework, meticulously designed for emotionally aware multimodal cha...
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R2V-PPI: Enhancing Prediction of Protein-Protein Interactions Using Word2Vec Embeddings and Deep Neural Networks
R2V-PPI: Enhancing Prediction of Protein-Protein Interaction...
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Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), International Conference on
作者: I. R. Oviya Shanmukha Sravya N Kalpana Raja Department of Computer Science Engineering Amrita School Of Computing Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
Proteins play a crucial role in living organisms, and understanding protein-protein interactions is vital for comprehending their functions and aiding drug discovery. In recent years, advanced deep learning models hav...
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Predicting Protein-Protein Interactions Using Self-Attention-Based Deep Neural Networks and FastText Embeddings
Predicting Protein-Protein Interactions Using Self-Attention...
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International Conference on Computing and Networking Technology (ICCNT)
作者: I. R. Oviya N Shanmukha Sravya Kalpana Raja Department of Computer Science Engineering Amrita School Of Computing Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
Predicting Protein-protein interactions are central to understanding the intricate mechanisms governing cellular functions, as proteins seldom act in isolation. While current machine learning and deep learning models ... 详细信息
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Enhancing Diabetic Retinopathy Screening with Sequential Deep Learning Models
Enhancing Diabetic Retinopathy Screening with Sequential Dee...
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International Conference on Image Information Processing
作者: Vankadari Mohith Kalpana Raja I. R. Oviya Department of Computer Science and Engineering (AIE) Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven USA
Diabetic retinopathy is a serious medical disorder that, if left untreated, can result in visual impairment or blindness. The precise and timely categorization of its severity is critical for appropriate medical manag... 详细信息
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Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
arXiv
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arXiv 2023年
作者: Hu, Yan Chen, Qingyu Du, Jingcheng Peng, Xueqing Keloth, Vipina Kuttichi Zuo, Xu Zhou, Yujia Li, Zehan Jiang, Xiaoqian Lu, Zhiyong Roberts, Kirk Xu, Hua School of Biomedical Informatics University of Texas Health Science at Houston Houston United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New Haven United States National Center for Biotechnology Information National Library of Medicine National Institutes of Health MD United States
Objective: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance. Materials and Methods: We evalu... 详细信息
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A Variational Autoencoder-Feed Forward Networks (VAE-FNN) Model for Classifying DNA Barcodes
A Variational Autoencoder-Feed Forward Networks (VAE-FNN) Mo...
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Advances in Electrical, Electronics and Computational Intelligence (ICAEECI), International Conference on
作者: Abhivyakti Yadav Divya S I R Oviya Kalpana Raja Department of Computer Science and Engineering (Artificial Intelligence) Amrita School of Computing Amrita Vishwa Vidyapetham Chennai India Section for Biomedical Informatics and Data Science School of Medicine Yale University New Haven Connecticut USA
DNA Barcodes, which are particular fragments derived from brief sections of DNA (such as mitochondrial, nuclear, and plastid sequences), can be used to identify organisms from the major life kingdoms. In addition to s...
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Suicide Phenotyping from Clinical Notes in Safety-Net Psychiatric Hospital Using Multi-Label Classification with Pre-Trained Language Models
arXiv
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arXiv 2024年
作者: Li, Zehan Hu, Yan Lane, Scott Selek, Salih Shahani, Lokesh Machado-Vieira, Rodrigo Soares, Jair Xu, Hua Liu, Hongfang Huang, Ming MacWilliam School of Biomedical Informatics The University of Texas Health Science Center HoustonTX United States Department of Psychiatry & Behavioral Sciences McGovern Medical School The University of Texas Health Science at Houston HoustonTX United States Section of Biomedical Informatics and Data Science School of Medicine Yale University New HavenCT United States
Accurate identification and categorization of suicidal events can yield better suicide precautions, reducing operational burden, and improving care quality in high-acuity psychiatric settings. Pre-trained language mod... 详细信息
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