AIMC Topic: Support Vector Machine

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Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.

International journal of neural systems Jun 1, 2020
In the context of neuro-pathological disorders, neuroimaging has been widely accepted as a clinical tool for diagnosing patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). The advanced deep learning method, a novel brain imagi...
Humans Female Aged Deep Learning Cognitive Dysfunction Support Vector Machine Aged, 80 and over Sensitivity and Specificity Male Magnetic Resonance Imaging Models, Neurological Alzheimer Disease Datasets as Topic Neuroimaging
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Diagnostic classification of solitary pulmonary nodules using support vector machine model based on 2-[18F]fluoro-2-deoxy-D-glucose PET/computed tomography texture features.

Nuclear medicine communications Jun 1, 2020
PURPOSE: This study aimed to evaluate the diagnostic value of a support vector machine (SVM) model built with texture features based on standard 2-[F]fluoro-2-deoxy-D-glucose (F-FDG) PET in patients with solitary pulmonary nodules (SPNs) at a volume ...
Positron Emission Tomography Computed Tomography Tumor Burden Fluorodeoxyglucose F18 Image Processing, Computer-Assisted Support Vector Machine Solitary Pulmonary Nodule Humans Male Retrospective Studies Middle Aged Female ROC Curve
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A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers.

Bioinformatics (Oxford, England) Jun 1, 2020
MOTIVATION: Genomic information is increasingly being used in diagnosis, prognosis and treatment of cancer. The severity of the disease is usually measured by the tumor stage. Therefore, identifying pathways playing an important role in progression o...
Neoplasms Humans Support Vector Machine Machine Learning Cluster Analysis Algorithms
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Expert knowledge for the recognition of leukemic cells.

Applied optics May 10, 2020
This work shows the advantage of expert knowledge for leukemic cell recognition. In the medical area, visual analysis of microscopic images has regularly used biological samples to recognize hematological disorders. Nowadays, techniques of image reco...
Diagnostic Imaging Blood Cells Leukemia Neural Networks, Computer Databases, Factual Deep Learning Humans Cell Line, Tumor Image Processing, Computer-Assisted Support Vector Machine
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Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers.

Medicine and science in sports and exercise May 1, 2020
UNLABELLED: Machine learning classification models for accelerometer data are potentially more accurate methods to measure physical activity in young children than traditional cut point methods. However, existing algorithms have been trained on labor...
Humans Reproducibility of Results Exercise Games, Recreational Child, Preschool Fitness Trackers Support Vector Machine Sedentary Behavior Running Walking Video Recording Accelerometry Child Development
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[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Apr 8, 2020
OBJECTIVE: Feature extraction of breast tumors is very important in the breast tumor detection (benign and malignant) in ultrasound image. The traditional quantitative description of breast tumors has some shortcomings, such as inaccuracy. A simple a...
Humans Algorithms Ultrasonography Breast Neoplasms Support Vector Machine
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Data-driven fault detection methods for detecting small-magnitude faults in anaerobic digestion process.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 1, 2020
Early detection of small-magnitude faults in anaerobic digestion (AD) processes is a mandatory step for preventing serious consequence in the future. Since volatile fatty acids (VFA) accumulation is widely suggested as a process health indicator, a V...
Principal Component Analysis Anaerobiosis Support Vector Machine Fatty Acids, Volatile
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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2020
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24-96 hours in a...
Anemia Pressure Ulcer Iatrogenic Disease Area Under Curve Critical Care Humans ROC Curve Retrospective Studies Support Vector Machine Acute Kidney Injury Electronic Health Records Natural Language Processing Risk Assessment Deep Learning
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Motor imagery classification using geodesic filtering common spatial pattern and filter-bank feature weighted support vector machine.

The Review of scientific instruments Mar 1, 2020
In recent years, Brain Computer Interface (BCI) based on motor imagery has been widely used in the fields of medicine, active safe systems for automobiles, entertainment, and so on. Motor imagery relevant electroencephalogram (EEG) signals are weak, ...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Support Vector Machine
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A TrAdaBoost Method for Detecting Multiple Subjects' N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold.

International journal of neural systems Mar 1, 2020
Traditional training methods need to collect a large amount of data for every subject to train a subject-specific classifier, which causes subjects fatigue and training burden. This study proposes a novel training method, TrAdaBoost based on cross-va...
Evoked Potentials Humans Event-Related Potentials, P300 Adult Cerebral Cortex Support Vector Machine Electroencephalography Neurofeedback Brain-Computer Interfaces
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