AIMC Topic: Support Vector Machine

Clear Filters Showing 4521 to 4530 of 4975 articles

Gene Classification Based on Multi-Class SVMs with Systematic Sampling and Hierarchical Clustering (SSHC) Algorithm.

Advances in experimental medicine and biology Jan 1, 2021
The support vector machines (SVMs) is one of the machine learning algorithms with high classification accuracy. However, the support vector machine algorithm has a very high training complexity. Thus, it is not very efficient with large datasets. In ...
Gene Expression Algorithms Support Vector Machine Cluster Analysis Humans Machine Learning
View on PubMed DOI

Prediction of Blood Glucose Concentration Based on CEEMD and Improved Particle Swarm Optimization LSSVM.

Critical reviews in biomedical engineering Jan 1, 2021
Aiming at the difficulty of accurate prediction due to the randomness and nonstationary nature of blood glucose concentration series, a blood glucose concentration prediction model based on complementary ensemble empirical mode decomposition (CEEMD) ...
Humans Algorithms Blood Glucose Support Vector Machine Least-Squares Analysis
View on PubMed DOI

Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Technology in cancer research & treatment Jan 1, 2021
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are invasive and complex procedures with possible complications. This study aimed to determine models for CRC identification that involve minimally invas...
Support Vector Machine Electronic Health Records Male Area Under Curve Adult Female Diagnostic Tests, Routine Humans Middle Aged Aged Colorectal Neoplasms ROC Curve Machine Learning Biomarkers, Tumor Case-Control Studies Logistic Models Retrospective Studies
View on PubMed DOI

Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within le...
Humans Machine Learning Prospective Studies Prognosis Female Aged Ovarian Neoplasms Patient Acuity Cystadenocarcinoma, Serous Logistic Models Support Vector Machine Age Factors Aged, 80 and over Adult Middle Aged
View on PubMed DOI

Prediction of treatment failure of tuberculosis using support vector machine with genetic algorithm.

International journal of mycobacteriology Jan 1, 2021
BACKGROUND: Tuberculosis (TB) is a disease that mainly affects human lungs. It can be fatal if the treatment is delayed. This study investigates the prediction of treatment failure of TB patients focusing on the features which contributes mostly for ...
Tuberculosis Treatment Failure Myanmar Humans Forecasting Support Vector Machine
View on PubMed DOI

A Role for Prior Knowledge in Statistical Classification of the Transition from Mild Cognitive Impairment to Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: The transition from mild cognitive impairment (MCI) to dementia is of great interest to clinical research on Alzheimer's disease and related dementias. This phenomenon also serves as a valuable data source for quantitative methodological ...
Magnetic Resonance Imaging Alzheimer Disease Male Cognitive Dysfunction Support Vector Machine Female Aged Humans Machine Learning Brain
View on PubMed DOI

Texture classification based on image (natural and horizontal) visibility graph constructing methods.

Chaos (Woodbury, N.Y.) Jan 1, 2021
Texture classification is widely used in image analysis and some other related fields. In this paper, we designed a texture classification algorithm, named by TCIVG (Texture Classification based on Image Visibility Graph), based on a newly proposed i...
Humans Algorithms Databases, Factual Support Vector Machine
View on PubMed DOI

Age prediction based on a small number of facial landmarks and texture features.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Age is an essential feature of people, so the study of facial aging should have particular significance.
Support Vector Machine Face Humans Algorithms Aging
View on PubMed DOI

Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Mild cognitive impairment (MCI) is considered a prodromal stage of Alzheimer's disease. Early diagnosis of MCI can allow for treatment to improve cognitive function and reduce modifiable risk factors.
Humans Female Reproducibility of Results Aged Neural Networks, Computer Machine Learning Algorithms Neural Pathways Support Vector Machine Brain Mapping Discriminant Analysis Feasibility Studies Rest Neuroimaging Spectroscopy, Near-Infrared Deep Learning Cognitive Dysfunction Aged, 80 and over Male
View on PubMed DOI

Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network.

The Journal of the Acoustical Society of America Jan 1, 2021
The goal of this research is to find a way of highlighting the acoustic differences between consonant phonemes of the Polish and Lithuanian languages. For this purpose, similarity matrices are employed based on speech acoustic parameters combined wit...
Support Vector Machine Acoustics Phonetics Neural Networks, Computer Language
View on PubMed DOI
Popular Topics
Recent Journals