AIMC Topic: Support Vector Machine

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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Algorithms Retrospective Studies Electronic Health Records Female Humans Neural Networks, Computer Machine Learning Computational Biology Logistic Models Support Vector Machine State Medicine Bayes Theorem United Kingdom Case-Control Studies Dementia Primary Health Care Aged Male Risk Assessment
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Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks.

BMC bioinformatics Dec 2, 2019
BACKGROUND: In recent years, deep learning methods have been applied to many natural language processing tasks to achieve state-of-the-art performance. However, in the biomedical domain, they have not out-performed supervised word sense disambiguatio...
Algorithms Support Vector Machine Natural Language Processing Vocabulary Humans Neural Networks, Computer
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Glycemic-aware metrics and oversampling techniques for predicting blood glucose levels using machine learning.

PloS one Dec 2, 2019
Techniques using machine learning for short term blood glucose level prediction in patients with Type 1 Diabetes are investigated. This problem is significant for the development of effective artificial pancreas technology so accurate alerts (e.g. hy...
Laboratory Critical Values Blood Glucose Insulin Diabetes Mellitus, Type 1 Blood Glucose Self-Monitoring Pancreas, Artificial Humans Hypoglycemic Agents Datasets as Topic Support Vector Machine Forecasting Self Medication Hypoglycemia
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A novel hybrid atlas-free hierarchical graph-based segmentation of newborn brain MRI using wavelet filter banks.

The International journal of neuroscience Dec 1, 2019
: The newborn brain MRI (magnetic resonance imaging) tissue segmentation plays a vital part in assessment of primary brain growth. In the newborn stage (nearly less than 28 days old), in T1- as well as T2-weighted MR images similar levels of intensit...
Male Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Female Infant, Newborn Humans Neuroimaging
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Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2019
OBJECTIVE: The death rate of breast tumour is falling as there is progress in its research area. However, it is the most common disease among women. It is a great challenge in designing a machine learning model to evaluate the performance of the clas...
Cluster Analysis Decision Trees Principal Component Analysis Female Neoplasms Support Vector Machine Humans Databases, Factual Prognosis Machine Learning Algorithms
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SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso.

Journal of theoretical biology Nov 28, 2019
At present, with the in-depth study of gene expression data, the significant role of tumor classification in clinical medicine has become more apparent. In particular, the sparse characteristics of gene expression data within and between groups. Ther...
Support Vector Machine Microarray Analysis Algorithms Humans Neoplasms Gene Expression Profiling Software
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Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists.

Scientific reports Nov 28, 2019
Computer-aided diagnosis (CAD) systems hold potential to improve the diagnostic accuracy of thyroid ultrasound (US). We aimed to develop a deep learning-based US CAD system (dCAD) for the diagnosis of thyroid nodules and compare its performance with ...
Humans Aged, 80 and over Adult Female Aged Support Vector Machine Image Interpretation, Computer-Assisted Deep Learning Ultrasonography Thyroid Nodule Sensitivity and Specificity Male Middle Aged
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Extracting causal relations from the literature with word vector mapping.

Computers in biology and medicine Nov 27, 2019
Causal graphs play an essential role in the determination of causalities and have been applied in many domains including biology and medicine. Traditional causal graph construction methods are usually data-driven and may not deliver the desired accur...
Data Mining Semantics Humans Support Vector Machine
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Undersampling: case studies of flaviviral inhibitory activities.

Journal of computer-aided molecular design Nov 26, 2019
Imbalanced datasets, comprising of more inactive compounds relative to the active ones, are a common challenge in ligand-based model building workflows for drug discovery. This is particularly true for neglected tropical diseases since efforts to ide...
West Nile virus Zika Virus Humans Flaviviridae Support Vector Machine Drug Discovery Flaviviridae Infections Dengue Virus Antiviral Agents
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Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface.

Computational intelligence and neuroscience Nov 25, 2019
Long and tedious calibration time hinders the development of motor imagery- (MI-) based brain-computer interface (BCI). To tackle this problem, we use a limited labelled set and a relatively large unlabelled set from the same subject for training bas...
Imagination Signal Processing, Computer-Assisted Models, Theoretical Humans Hand Foot Support Vector Machine Brain Tongue Motor Activity Electroencephalography Time Factors Calibration Brain-Computer Interfaces
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