AIMC Topic:
Predictive Value of Tests
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PredyCLU: A prediction system for chronic leg ulcers based on fuzzy logic; part II-Exploring the arterial side.
International wound journal
Apr 13, 2020
Peripheral arterial disease (PAD) and its most severe form, critical limb ischaemia (CLI), are very common clinical conditions related to atherosclerosis and represent the major causes of morbidity, mortality, disability, and reduced quality of life ...
Prediction of physical violence in schizophrenia with machine learning algorithms.
Psychiatry research
Apr 13, 2020
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...
Predicting mental health problems in adolescence using machine learning techniques.
PloS one
Apr 6, 2020
BACKGROUND: Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child's life, personality, and symptoms h...
Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction.
Aging
Apr 5, 2020
In this paper, we applied a novel method for the detection of Alzheimer's disease (AD) based on a structural magnetic resonance imaging (sMRI) dataset. Specifically, the method involved a new classification algorithm of machine learning, named Genera...
Network topology and machine learning analyses reveal microstructural white matter changes underlying Chinese medicine Dengzhan Shengmai treatment on patients with vascular cognitive impairment.
Pharmacological research
Mar 31, 2020
With the increasing incidence of cerebrovascular diseases and dementia, considerable efforts have been made to develop effective treatments on vascular cognitive impairment (VCI), among which accumulating practice-based evidence has shown great poten...
Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.
American journal of ophthalmology
Mar 25, 2020
PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted atherosclerosis by using retinal fundus images and to...
Fundus Oculi
Retina
Carotid Arteries
Ophthalmoscopy
Survival Rate
Male
Female
Deep Learning
Humans
Cardiovascular Diseases
Risk Factors
Ultrasonography
Prognosis
Middle Aged
Aged
Follow-Up Studies
Retrospective Studies
Risk Assessment
Aged, 80 and over
Predictive Value of Tests
Republic of Korea
Adult
Atherosclerosis
Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.
The British journal of radiology
Mar 25, 2020
OBJECTIVE: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).
Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.
Journal of the American Heart Association
Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Brain morphological changes in hypokinetic dysarthria of Parkinson's disease and use of machine learning to predict severity.
CNS neuroscience & therapeutics
Mar 20, 2020
BACKGROUND: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreo...
Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network.
Scientific reports
Mar 20, 2020
In managing a patient with glioblastoma (GBM), a surgeon must carefully consider whether sufficient tumour can be removed so that the patient can enjoy the benefits of decompression and cytoreduction, without impacting on the patient's neurological s...
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