AIMC Topic: Support Vector Machine

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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology Jan 1, 2020
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...
Support Vector Machine Diagnostic Techniques, Neurological Magnetic Resonance Imaging Alzheimer Disease Case-Control Studies Humans Bayes Theorem Multivariate Analysis Diagnosis, Computer-Assisted Machine Learning Brain Cognitive Dysfunction
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A Machine Learning Approach to Identification of Unhealthy Drinking.

Journal of the American Board of Family Medicine : JABFM Jan 1, 2020
INTRODUCTION: Unhealthy drinking is prevalent in the United States, and yet it is underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and uncomfortable for primary care providers. An automated rule for identificatio...
Alcohol Drinking Adult Humans Nutrition Surveys Male Machine Learning Mass Screening Logistic Models United States Female Support Vector Machine
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Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of dementia in general and in Alzheimer's disease (AD) in particular with the aim to classify, at the individual level, AD patients and healthy controls ...
Sensitivity and Specificity Aging Humans Alzheimer Disease Biomarkers Support Vector Machine Brain Waves Brain Electroencephalography Neuropsychological Tests Aged
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Digital image technology based on PCA and SVM for detection and recognition of foreign bodies in lyophilized powder.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Digital image technology has made great progress in the field of foreign body detection and classification, which is of great help to drug purity extraction and impurity analysis and classification.
Humans Support Vector Machine Principal Component Analysis Image Processing, Computer-Assisted Powders Drug Contamination Freeze Drying
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Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.
Risk Factors Adult Hemodynamics Predictive Value of Tests Blood Pressure Socioeconomic Factors Support Vector Machine Humans Algorithms Pregnancy Hypertension, Pregnancy-Induced Female Early Diagnosis Gestational Age Radial Artery Hematologic Tests Pulse Wave Analysis Body Weight Data Mining
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Assessment of mental workload based on multi-physiological signals.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: Mental workload is one of the contributing factors to human errors in road accidents or other potentially adverse incidents.
Mental Fatigue Attention Image Interpretation, Computer-Assisted Task Performance and Analysis Electroencephalography Reaction Time Workload Humans Young Adult Electrocardiography Adult Support Vector Machine Male
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Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.

Journal of cancer research and therapeutics Jan 1, 2020
CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.
Support Vector Machine Fuzzy Logic Cluster Analysis Humans Algorithms Dermoscopy Image Processing, Computer-Assisted Melanoma Skin Neoplasms
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Diagnostic Performance of the Support Vector Machine Model for Breast Cancer on Ring-Shaped Dedicated Breast Positron Emission Tomography Images.

Journal of computer assisted tomography Jan 1, 2020
OBJECTIVE: The aim of this study was to evaluate the diagnostic ability of support vector machine (SVM) for early breast cancer (BC) using dedicated breast positron emission tomography (dbPET).
Female Aged Aged, 80 and over Adult Humans Retrospective Studies Breast Positron-Emission Tomography Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Breast Neoplasms Middle Aged Support Vector Machine
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Detection of Disease-Specific Parent Cells Via Distinct Population of Nano-Vesicles by Machine Learning.

Current pharmaceutical design Jan 1, 2020
BACKGROUND: The diagnosis and prognosis of pathological conditions, such as age-related macular degeneration (AMD) and cancer still need improvement. AMD is primarily caused due to the dysfunction of retinal pigment epithelium (RPE), whereas endothel...
Humans Artificial Intelligence Machine Learning Support Vector Machine Macular Degeneration Endothelial Cells
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Text mining meets community curation: a newly designed curation platform to improve author experience and participation at WormBase.

Database : the journal of biological databases and curation Jan 1, 2020
Biological knowledgebases rely on expert biocuration of the research literature to maintain up-to-date collections of data organized in machine-readable form. To enter information into knowledgebases, curators need to follow three steps: (i) identify...
Animals User-Computer Interface Support Vector Machine Internet Databases, Factual Caenorhabditis elegans Knowledge Bases Data Mining Data Curation
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