AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 691 to 700 of 1116 articles

Fall Detection With UWB Radars and CNN-LSTM Architecture.

IEEE journal of biomedical and health informatics Apr 6, 2021
Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However, in some cases, trauma caused by an undetected fall can get wo...
Neural Networks, Computer Humans
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A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data.

IEEE journal of biomedical and health informatics Apr 6, 2021
Multiple sclerosis (MS) affects the central nervous system with a wide range of symptoms. MS can, for example, cause pain, changes in mood and fatigue, and may impair a person's movement, speech and visual functions. Diagnosis of MS typically involve...
Smartphone Multiple Sclerosis Deep Learning Fatigue Neural Networks, Computer Humans
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A New Dataset for Facial Motion Analysis in Individuals With Neurological Disorders.

IEEE journal of biomedical and health informatics Apr 6, 2021
We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. Perceptual clinical scores from trained ...
Neural Networks, Computer Algorithms Humans Face Nervous System Diseases Motion
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A Novel Automated Blood Pressure Estimation Algorithm Using Sequences of Korotkoff Sounds.

IEEE journal of biomedical and health informatics Apr 6, 2021
The use of automated non-invasive blood pressure (NIBP) measurement devices is growing, as they can be used without expertise, and BP measurement can be performed by patients at home. Non-invasive cuff-based monitoring is the dominant method for BP m...
Oscillometry Blood Pressure Blood Pressure Determination Algorithms Humans Artificial Intelligence
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Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods.

IEEE journal of biomedical and health informatics Apr 6, 2021
The international standard to ascertain the cause of death is medical certification. However, in many low and middle-income countries, the majority of deaths occur outside of health facilities. In these cases, Verbal Autopsy (VA), the narrative provi...
Humans Cause of Death Surveys and Questionnaires Deep Learning Autopsy
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Machine Learning Model for Computational Tracking and Forecasting the COVID-19 Dynamic Propagation.

IEEE journal of biomedical and health informatics Mar 5, 2021
A computational model with intelligent machine learning for analysis of epidemiological data, is proposed. The innovations of adopted methodology consist of an interval type-2 fuzzy clustering algorithm based on adaptive similarity distance mechanism...
Fuzzy Logic SARS-CoV-2 Algorithms Humans Machine Learning Computer Simulation Forecasting COVID-19
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StoCast: Stochastic Disease Forecasting With Progression Uncertainty.

IEEE journal of biomedical and health informatics Mar 5, 2021
Forecasting patients' disease progressions with rich longitudinal clinical data has drawn much attention in recent years due to its impactful application in healthcare and the medical field. Researchers have tackled this problem by leveraging traditi...
Uncertainty Humans Forecasting Alzheimer Disease Neural Networks, Computer Machine Learning
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3D Context-Aware Convolutional Neural Network for False Positive Reduction in Clustered Microcalcifications Detection.

IEEE journal of biomedical and health informatics Mar 5, 2021
False positives (FPs) reduction is indispensable for clustered microcalcifications (MCs) detection in digital breast tomosynthesis (DBT), since there might be excessive false candidates in the detection stage. Considering that DBT volume has an aniso...
Female Algorithms Mammography Calcinosis Humans Neural Networks, Computer
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Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection.

IEEE journal of biomedical and health informatics Mar 5, 2021
In the past decade, anatomical context features have been widely used for cephalometric landmark detection and significant progress is still being made. However, most existing methods rely on handcrafted graphical models rather than incorporating ana...
Cephalometry Neural Networks, Computer Radiography Humans
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Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.

IEEE journal of biomedical and health informatics Mar 5, 2021
In recent years, more and more evidence indicates that circular RNAs (circRNAs) with covalently closed loop play various roles in biological processes. Dysregulation and mutation of circRNAs may be implicated in diseases. Due to its stable structure ...
RNA, Circular Research Design Humans Forecasting Neural Networks, Computer
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