AIMC Journal:
Computer methods and programs in biomedicine

Showing 681 to 690 of 863 articles

A novel retinal vessel detection approach based on multiple deep convolution neural networks.

Computer methods and programs in biomedicine Oct 30, 2018
BACKGROUND AND OBJECTIVE: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease regions. However, RV detec...
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Computer Systems Models, Statistical Fundus Oculi Retinal Diseases Retinal Vessels
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A systematic literature review and classification of knowledge discovery in traditional medicine.

Computer methods and programs in biomedicine Oct 27, 2018
INTRODUCTION AND OBJECTIVE: Despite the importance of machine learning methods application in traditional medicine there is a no systematic literature review and a classification for this field. This is the first comprehensive literature review of th...
Persia Plant Preparations Diagnosis, Computer-Assisted Humans Medicine, Chinese Traditional China Symptom Assessment Neural Networks, Computer India Medicine, Kampo Bayes Theorem Artificial Intelligence Support Vector Machine Medicine, Traditional Japan Machine Learning Data Mining Databases, Factual Medicine, Ayurvedic
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End-to-End syndrome differentiation of Yin deficiency and Yang deficiency in traditional Chinese medicine.

Computer methods and programs in biomedicine Oct 16, 2018
BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play a diagnostic role in Traditional Chinese Medicine (TCM). The Yin and Yang in harmonious balance indicate health, whereas imbalances to either side in...
Humans Syndrome Algorithms Data Mining Adult Databases, Factual Yin Deficiency Male Female Yin-Yang Middle Aged Yang Deficiency Deep Learning Medicine, Chinese Traditional
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An improved support vector machine-based diabetic readmission prediction.

Computer methods and programs in biomedicine Oct 12, 2018
BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a large proportion of total hospital payment. Hospital-specific readmission rate becomes a critical issue around the world. Quantification and early ident...
Humans Neural Networks, Computer Algorithms Male Risk Assessment Decision Support Systems, Clinical Logistic Models Support Vector Machine Female Reproducibility of Results Risk Factors Sensitivity and Specificity Decision Trees Bayes Theorem Patient Discharge Patient Readmission
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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

Computer methods and programs in biomedicine Oct 5, 2018
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods...
Pattern Recognition, Automated False Positive Reactions Software Breast Neoplasms Lung Neoplasms Algorithms Male Sequence Analysis, RNA Female Diagnosis, Computer-Assisted Gene Expression Regulation, Neoplastic Reproducibility of Results Humans Deep Learning Supervised Machine Learning Stomach Neoplasms RNA
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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine Oct 2, 2018
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...
False Positive Reactions Cystitis Decision Support Systems, Clinical Support Vector Machine Decision Trees Urinary Tract Infections Young Adult Adult Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Adolescent Child Artificial Intelligence ROC Curve Humans Machine Learning Neural Networks, Computer Algorithms Female Aged
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Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

Computer methods and programs in biomedicine Aug 31, 2018
BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive redu...
Humans Lung Neoplasms Neural Networks, Computer Databases, Factual Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted False Positive Reactions
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Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Cardiovascular System Models, Cardiovascular Histological Techniques Models, Anatomic Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Machine Learning Reference Values Algorithms
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Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.

Computer methods and programs in biomedicine Aug 16, 2018
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructu...
Humans Data Mining Semantics Biological Ontologies Machine Learning Disease Algorithms Drug Therapy Decision Support Systems, Clinical Knowledge Bases
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Complex-valued unsupervised convolutional neural networks for sleep stage classification.

Computer methods and programs in biomedicine Jul 26, 2018
BACKGROUND AND OBJECTIVE: Despite numerous deep learning methods being developed for automatic sleep stage classification, almost all the models need labeled data. However, obtaining labeled data is a subjective process. Therefore, the labels will be...
Deep Learning Sleep Stages Female Wearable Electronic Devices Humans Aged Unsupervised Machine Learning Neural Networks, Computer Adult Electroencephalography Algorithms Male Databases, Factual Middle Aged
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