AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 961 to 970 of 1118 articles

Left Atrial Appendage Segmentation Using Fully Convolutional Neural Networks and Modified Three-Dimensional Conditional Random Fields.

IEEE journal of biomedical and health informatics Jan 17, 2018
Thrombosis has become a global disease threatening human health. The left atrial appendage (LAA) is a major source of thrombosis in patients with atrial fibrillation (AF). Positive correlation exists between LAA volume and AF risk. LAA morphology has...
Imaging, Three-Dimensional Computed Tomography Angiography Atrial Appendage Humans Neural Networks, Computer Algorithms
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Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks.

IEEE journal of biomedical and health informatics Dec 25, 2017
Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is ...
Deep Learning Skin Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Humans Algorithms Databases, Factual Melanoma
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A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States.

IEEE journal of biomedical and health informatics Nov 27, 2017
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment R...
Humans Machine Learning Female Aged Male Middle Aged Drug Monitoring Signal Processing, Computer-Assisted Antiparkinson Agents Accelerometry Wearable Electronic Devices Levodopa Parkinson Disease
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Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.

IEEE journal of biomedical and health informatics Nov 20, 2017
The classification of medical images and illustrations from the biomedical literature is important for automated literature review, retrieval, and mining. Although deep learning is effective for large-scale image classification, it may not be the opt...
Image Processing, Computer-Assisted Diagnostic Imaging Humans Algorithms Deep Learning
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Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.

IEEE journal of biomedical and health informatics Nov 10, 2017
In this paper, a novel algorithm based on a convolutional neural network (CNN) is proposed for myocardial infarction detection via multilead electrocardiogram (ECG). A beat segmentation algorithm utilizing multilead ECG is designed to obtain multilea...
Heart Humans Myocardial Infarction Neural Networks, Computer Electrocardiography Algorithms Signal Processing, Computer-Assisted Sensitivity and Specificity
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Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

IEEE journal of biomedical and health informatics Nov 2, 2017
The potential  of telemedicine in respiratory health care has not been completely unveiled in part due to the inexistence of reliable objective measurements of symptoms such as cough. Currently available cough detectors are uncomfortable and expensiv...
Signal Processing, Computer-Assisted Algorithms Telemedicine Smartphone Humans Cough Neural Networks, Computer
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Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.

IEEE journal of biomedical and health informatics Oct 27, 2017
The past decade has seen an explosion in the amount of digital information stored in electronic health records (EHRs). While primarily designed for archiving patient information and performing administrative healthcare tasks like billing, many resear...
Humans Electronic Health Records Deep Learning
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Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.

IEEE journal of biomedical and health informatics Oct 23, 2017
The estimation of long-term diabetes complications risk is essential in the process of medical decision making. Guidelines for the management of Type 2 Diabetes Mellitus (T2DM) advocate calculating the Cardiovascular Disease (CVD) risk to initiate ap...
Risk Assessment Diabetes Mellitus, Type 2 Humans Area Under Curve Cardiovascular Diseases Female Neural Networks, Computer Middle Aged Aged Machine Learning Male Databases, Factual
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Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

IEEE journal of biomedical and health informatics Sep 28, 2017
Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human serums evaluated, human breath emerges as a promising option with acetone levels in breath exhibiting a good correlation to blood glucose levels. Such...
Acetone Breath Tests Male Blood Glucose ROC Curve Diabetes Mellitus Equipment Design Signal Processing, Computer-Assisted Female Young Adult Adult Neural Networks, Computer Humans Algorithms
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Estimation of Pulse Transit Time From Radial Pressure Waveform Alone by Artificial Neural Network.

IEEE journal of biomedical and health informatics Sep 1, 2017
OBJECTIVE: To validate the feasibility of the estimation of pulse transit time (PTT) by artificial neural network (ANN) from radial pressure waveform alone.
Humans Neural Networks, Computer Female Hypertension Blood Pressure Determination Pulse Wave Analysis Aged Male Middle Aged Signal Processing, Computer-Assisted Radial Artery
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