AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 631 to 640 of 1116 articles

Machine Learning for Real-Time Heart Disease Prediction.

IEEE journal of biomedical and health informatics Sep 3, 2021
Heart-related anomalies are among the most common causes of death worldwide. Patients are often asymptomatic until a fatal event happens, and even when they are under observation, trained personnel is needed in order to identify a heart anomaly. In t...
Algorithms Heart Diseases Humans Machine Learning Arrhythmias, Cardiac Electrocardiography
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A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative Claims.

IEEE journal of biomedical and health informatics Sep 3, 2021
People with diabetes require lifelong access to healthcare services to delay the onset of complications. Their disease management processes generate great volumes of data across several domains, from clinical to administrative. Difficulties in access...
Myocardial Infarction Diabetes Complications Stroke Cardiovascular Diseases Diabetes Mellitus Deep Learning Humans Risk Factors
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Limitations of Transformers on Clinical Text Classification.

IEEE journal of biomedical and health informatics Sep 3, 2021
Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the current state-of-the-art in many natural language processing (NLP) tasks; however, their application to document classification on long clinical texts is...
Natural Language Processing Neural Networks, Computer Humans
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An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.

IEEE journal of biomedical and health informatics Sep 3, 2021
Computer-aided skin cancer classification systems built with deep neural networks usually yield predictions based only on images of skin lesions. Despite presenting promising results, it is possible to achieve higher performance by taking into accoun...
Humans Metadata Skin Neoplasms Neural Networks, Computer Deep Learning Dermoscopy
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Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.

IEEE journal of biomedical and health informatics Sep 3, 2021
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (D...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Research Design Signal-To-Noise Ratio Neural Networks, Computer Humans
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An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors.

IEEE journal of biomedical and health informatics Sep 3, 2021
In this article, we propose an attention based convolutional neural network long short-term memory (CNN-LSTM) approach for sleep-wake detection with heterogeneous sensor data, i.e., acceleration and heart rate variability (HRV). Since the three-dimen...
Neural Networks, Computer Sleep Humans
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Deep Semisupervised Multitask Learning Model and Its Interpretability for Survival Analysis.

IEEE journal of biomedical and health informatics Aug 5, 2021
Survival analysis is a commonly used method in the medical field to analyze and predict the time of events. In medicine, this approach plays a key role in determining the course of treatment, developing new drugs, and improving hospital procedures. M...
Stochastic Processes Supervised Machine Learning Survival Analysis Humans
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CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.

IEEE journal of biomedical and health informatics Aug 5, 2021
This paper presents and explores a robust deep learning framework for auscultation analysis. This aims to classify anomalies in respiratory cycles and detect diseases, from respiratory sound recordings. The framework begins with front-end feature ext...
Neural Networks, Computer Lung Diseases Humans Auscultation Lung Respiratory Sounds
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Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.

IEEE journal of biomedical and health informatics Aug 5, 2021
Human computer interaction (HCI) involves a multidisciplinary fusion of technologies, through which the control of external devices could be achieved by monitoring physiological status of users. However, physiological biosignals often vary across use...
Machine Learning Humans
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Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.

IEEE journal of biomedical and health informatics Aug 5, 2021
Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke and monitoring carotid plaque progression. Since delineation of carotid plaques is required, a deep learning method can provide automatic plaque segmentatio...
Ultrasonography Humans Deep Learning Plaque, Atherosclerotic Myocardial Infarction Female Algorithms Stroke Carotid Arteries Male
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