AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 761 to 770 of 1118 articles

DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides.

IEEE journal of biomedical and health informatics Feb 28, 2020
Antiviral peptides (AVPs) have been experimentally verified to block virus into host cells, which have antiviral activity with decapeptide amide. Therefore, utilization of experimentally validated antiviral peptides is a potential alternative strateg...
Antiviral Agents Drug Discovery Neural Networks, Computer Computational Biology Deep Learning Peptides
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GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.

IEEE journal of biomedical and health informatics Feb 28, 2020
Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class similarity and intra-class variation of skin lesion images, and (2) the weak generalization ability of single Deep Convolutional Neural Network trained...
Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Dermoscopy Humans Skin Diseases
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A Deep Learning-Based Chemical System for QSAR Prediction.

IEEE journal of biomedical and health informatics Feb 28, 2020
Research on quantitative structure-activity relationships (QSAR) provides an effective approach to determine new hits and promising lead compounds during drug discovery. In the past decades, various works have gained good performance for QSAR with th...
Drug Discovery Deep Learning Pharmaceutical Preparations Computational Biology Quantitative Structure-Activity Relationship Models, Chemical
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EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques.

IEEE journal of biomedical and health informatics Feb 28, 2020
Ischemic stroke is a major cause of death and disability in adulthood worldwide. Because it has highly heterogeneous phenotypes, phenotyping of ischemic stroke is an essential task for medical research and clinical prognostication. However, this task...
Diagnosis, Computer-Assisted Humans Natural Language Processing Supervised Machine Learning Ischemic Stroke Female Algorithms Data Mining Aged Electronic Health Records Male
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Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance.

IEEE journal of biomedical and health informatics Feb 24, 2020
Early diagnosis of lung cancer via computed tomography can significantly reduce the morbidity and mortality rates associated with the pathology. However, searching lung nodules is a high complexity task, which affects the success of screening program...
Fixation, Ocular Humans Deep Learning Tomography, X-Ray Computed Radiologists Lung Neoplasms Eye-Tracking Technology Radiographic Image Interpretation, Computer-Assisted
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Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.

IEEE journal of biomedical and health informatics Feb 20, 2020
Non-negative Matrix Factorization (NMF) is a dimensionality reduction approach for learning a parts-based and linear representation of non-negative data. It has attracted more attention because of that. In practice, NMF not only neglects the manifold...
Humans Algorithms Genomics Supervised Machine Learning Genes, Neoplasm Neoplasms Transcriptome
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Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.

IEEE journal of biomedical and health informatics Feb 17, 2020
In data-driven deep learning-based modeling, data quality may substantially influence classification performance. Correct data labeling for deep learning modeling is critical. In weakly-supervised learning, a challenge lies in dealing with potentiall...
Humans Female Breast Neoplasms Deep Learning
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An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis.

IEEE journal of biomedical and health informatics Feb 13, 2020
Automatic skin lesion analysis of dermoscopy images remains a challenging topic. In this paper, we propose an end-to-end multi-task deep learning framework for automatic skin lesion analysis. The proposed framework can perform skin lesion detection, ...
Humans Algorithms Databases, Factual Dermoscopy Melanoma Deep Learning Skin Neoplasms Image Interpretation, Computer-Assisted
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Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.

IEEE journal of biomedical and health informatics Feb 12, 2020
This paper proposes an ultrasound video interpretation algorithm that enables novel classes or instances to be added over time, without significantly compromising prediction abilities on prior representations. The motivating application is diagnostic...
Ultrasonography, Prenatal Deep Learning Fetal Heart Image Interpretation, Computer-Assisted Pregnancy Female Humans Echocardiography Algorithms
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Multimodal Data Analysis of Alzheimer's Disease Based on Clustering Evolutionary Random Forest.

IEEE journal of biomedical and health informatics Feb 11, 2020
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced high-dimensional data of different modalities including functional magnetic resonance imaging (fMRI) and single nucleotide polymorphism (SNP). Understan...
Alzheimer Disease Cluster Analysis Decision Trees Aged, 80 and over Male Polymorphism, Single Nucleotide Brain Magnetic Resonance Imaging Humans Female Diagnosis, Computer-Assisted Aged Machine Learning Algorithms
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