AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 851 to 860 of 1118 articles

A Feasible Feature Extraction Method for Atrial Fibrillation Detection From BCG.

IEEE journal of biomedical and health informatics Jul 10, 2019
Atrial fibrillation (AF) is the most frequently occurring form of arrhythmia, which induces multiple fatal diseases and impairs the quality of life in patients; thus, the study of the diagnostic methods for detecting AF is clinically important. Here,...
Machine Learning Algorithms Female Aged Humans Aged, 80 and over Atrial Fibrillation Male Ballistocardiography Support Vector Machine Middle Aged Signal Processing, Computer-Assisted
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Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction.

IEEE journal of biomedical and health informatics Jul 9, 2019
Given the complicated relationship between the magnetic resonance imaging (MRI) signals and the attenuation values, the attenuation correction in hybrid positron emission tomography (PET)/MRI systems remains a challenging task. Currently, existing me...
Regression Analysis Female Diagnostic Imaging Aged Humans Deep Learning Male Adult Brain Image Processing, Computer-Assisted Middle Aged
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Object Detection During Newborn Resuscitation Activities.

IEEE journal of biomedical and health informatics Jun 24, 2019
OBJECTIVE: Birth asphyxia is a major newborn mortality problem in low-resource countries. International guideline provides treatment recommendations; however, the importance and effect of the different treatments are not fully explored. The available...
Databases, Factual Infant, Newborn Video Recording Image Processing, Computer-Assisted Humans Monitoring, Physiologic Resuscitation Neural Networks, Computer Asphyxia Neonatorum
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Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.

IEEE journal of biomedical and health informatics Jun 17, 2019
Many classical machine learning techniques have been used to explore Alzheimer's disease (AD), evolving from image decomposition techniques such as principal component analysis toward higher complexity, non-linear decomposition algorithms. With the a...
Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Brain Alzheimer Disease Severity of Illness Index Humans Mental Status and Dementia Tests Diagnosis, Computer-Assisted Disease Progression Algorithms Databases, Factual
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Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks.

IEEE journal of biomedical and health informatics Jun 14, 2019
In this paper, we propose a bi-modality medical image synthesis approach based on sequential generative adversarial network (GAN) and semi-supervised learning. Our approach consists of two generative modules that synthesize images of the two modaliti...
Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Retina Supervised Machine Learning Multimodal Imaging Prostate Humans Neural Networks, Computer Brain
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Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.

IEEE journal of biomedical and health informatics Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Uterine Cervical Neoplasms Middle Aged Cervix Uteri Colposcopy Young Adult Image Interpretation, Computer-Assisted Algorithms Adult Uterine Cervical Dysplasia Female Humans Sensitivity and Specificity Aged Neural Networks, Computer
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A Machine Learning Approach to Classifying Self-Reported Health Status in a Cohort of Patients With Heart Disease Using Activity Tracker Data.

IEEE journal of biomedical and health informatics Jun 11, 2019
Constructing statistical models using personal sensor data could allow for tracking health status over time, thereby enabling the possibility of early intervention. The goal of this study was to use machine learning algorithms to classify patient-rep...
Health Status Self Report Telemedicine Machine Learning Algorithms Cohort Studies Heart Diseases Monitoring, Ambulatory Fitness Trackers Humans
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A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal.

IEEE journal of biomedical and health informatics Jun 7, 2019
The dental disease is a common disease for a human. Screening and visual diagnosis that are currently performed in clinics possibly cost a lot in various manners. Along with the progress of the Internet of Things (IoT) and artificial intelligence, th...
Humans Software Algorithms Deep Learning Telemedicine Dental Health Services Image Interpretation, Computer-Assisted Internet of Things
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I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification.

IEEE journal of biomedical and health informatics May 29, 2019
Automatic classification of electrocardiogram (ECG) signals is important for diagnosing heart arrhythmias. A big challenge in automatic ECG classification is the variation in the waveforms and characteristics of ECG signals among different patients. ...
Heart Rate Electrocardiography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Arrhythmias, Cardiac Algorithms
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Deep Sequential Models for Suicidal Ideation From Multiple Source Data.

IEEE journal of biomedical and health informatics May 27, 2019
This paper presents a novel method for predicting suicidal ideation from electronic health records (EHR) and ecological momentary assessment (EMA) data using deep sequential models. Both EHR longitudinal data and EMA question forms are defined by asy...
Suicidal Ideation Suicide Humans Models, Psychological Neural Networks, Computer Ecological Momentary Assessment Adult Middle Aged Male Deep Learning Suicide Prevention Electronic Health Records Female
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