AIMC Topic: Support Vector Machine

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Machine Learning for Brain Stroke: A Review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 28, 2020
Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful tool in health settings, offering personalized clinical care for stroke patients. An application of ML and Deep Learning in health care is growing ho...
Humans Machine Learning Decision Support Techniques Therapy, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Support Vector Machine Predictive Value of Tests Magnetic Resonance Imaging Disability Evaluation Stroke Brain Prognosis Tomography, X-Ray Computed Severity of Illness Index
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Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

Scientific reports Jul 28, 2020
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response (pCR) after neoadjuvant chemoradiotherapy (CRT) provides them with the optimal prognosis. However, no reliable prediction model is presently available...
Support Vector Machine Humans Neoplasm Staging Neural Networks, Computer Rectal Neoplasms Machine Learning Chemoradiotherapy Middle Aged Antineoplastic Agents Treatment Outcome Neoadjuvant Therapy Retrospective Studies Female Aged Male
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Changes in functional connectivity after theta-burst transcranial magnetic stimulation for post-traumatic stress disorder: a machine-learning study.

European archives of psychiatry and clinical neuroscience Jul 27, 2020
Intermittent theta burst stimulation (iTBS) is a novel treatment approach for post-traumatic stress disorder (PTSD), and recent neuroimaging work indicates that functional connectivity profiles may be able to identify those most likely to respond. Ho...
Humans Transcranial Magnetic Stimulation Reproducibility of Results Theta Rhythm Electroencephalography Stress Disorders, Post-Traumatic Rest Support Vector Machine Dorsolateral Prefrontal Cortex
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Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information.

BioMed research international Jul 27, 2020
The knowledge of DNA-binding proteins would help to understand the functions of proteins better in cellular biological processes. Research on the prediction of DNA-binding proteins can promote the research of drug proteins and computer acidified drug...
Databases, Protein Computational Biology DNA-Binding Proteins Support Vector Machine Evolution, Molecular
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Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil.

Food chemistry Jul 24, 2020
In order to distinguish different vegetable oils, adulterated vegetable oils, and to identify and quantify counterfeit vegetable oils, a method based on a small sample size of total synchronous fluorescence (TSyF) spectra combined with convolutional ...
Spectrometry, Fluorescence Least-Squares Analysis Sesame Oil Food Quality Fraud Neural Networks, Computer Support Vector Machine Plant Oils
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Using an ontology of the human cardiovascular system to improve the classification of histological images.

Scientific reports Jul 23, 2020
The advantages of automatically recognition of fundamental tissues using computer vision techniques are well known, but one of its main limitations is that sometimes it is not possible to classify correctly an image because the visual information is ...
Computational Biology Support Vector Machine Histocytochemistry Cardiovascular System Humans Algorithms Animals Image Processing, Computer-Assisted Gene Ontology Cardiovascular Physiological Phenomena
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Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.

PloS one Jul 23, 2020
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor system. Automatic movement analysis systems have potential in improving patient care by enabling personalized and more accurate adjust of treatment. These systems...
Statistics as Topic Humans Parkinson Disease Machine Learning Female Case-Control Studies Signal Processing, Computer-Assisted Exercise Test Aged Cohort Studies Walking Smartphone Male Support Vector Machine Middle Aged
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Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.

NeuroImage Jul 22, 2020
Recently, functional network connectivity (FNC) has been extended from static to dynamic analysis to explore the time-varying functional organization of brain networks. Nowadays, a majority of dynamic FNC (dFNC) analysis frameworks identified recurri...
Models, Theoretical Support Vector Machine Magnetic Resonance Imaging Sleep Datasets as Topic Cerebral Cortex Humans Connectome Adult Nerve Net
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Software Algorithms Research Design Electronic Health Records Humans Machine Learning Medical Informatics Automation Pattern Recognition, Automated Smoking Natural Language Processing False Positive Reactions Reproducibility of Results Bayes Theorem Tobacco Use Disorder Sweden Data Mining ROC Curve Observer Variation Support Vector Machine
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Middle Aged Ultrasonography ROC Curve Imaging, Three-Dimensional Female Risk Factors Biomechanical Phenomena Male Linear Models Coronary Vessels Plaque, Atherosclerotic Models, Cardiovascular Humans Support Vector Machine Area Under Curve Machine Learning Coronary Angiography Ultrasonography, Interventional
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