AIMC Topic: Support Vector Machine

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Comparison of medical image classification accuracy among three machine learning methods.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Low-quality medical images may influence the accuracy of the machine learning process.
Image Processing, Computer-Assisted Machine Learning Support Vector Machine Humans Diagnostic Imaging Databases, Factual Neural Networks, Computer Deep Learning
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Extracting chemical-protein relations with ensembles of SVM and deep learning models.

Database : the journal of biological databases and curation Jan 1, 2018
Mining relations between chemicals and proteins from the biomedical literature is an increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the development and evaluation of systems that can automatically detect the chemica...
Databases, Protein Databases, Chemical Data Curation Models, Theoretical Neural Networks, Computer Support Vector Machine Machine Learning Proteins Reproducibility of Results
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A support vector machine approach to detect trans-tibial prosthetic misalignment using 3-Dimensional ground reaction force features: A proof of concept.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Prosthetists conventionally evaluate alignment based on visual interpretation of patients' gait, which is convenient, but largely subjective and depends on prosthetists' experience.
Tibia Weight-Bearing Adult Biomechanical Phenomena Gait Male Artificial Limbs Humans Prosthesis Design Middle Aged Female Aged Support Vector Machine Amputees
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Machine Learning Methods in Computational Toxicology.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of ...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation Toxicology Deep Learning Quantitative Structure-Activity Relationship Support Vector Machine Linear Models
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Towards Universal Haptic Library: Library-Based Haptic Texture Assignment Using Image Texture and Perceptual Space.

IEEE transactions on haptics Jan 1, 2018
In this paper, we focused on building a universal haptic texture models library and automatic assignment of haptic texture models to any given surface from the library based on image features. It is shown that a relationship exists between perceived ...
Humans Visual Perception Touch Perception Psychophysics Models, Theoretical Support Vector Machine Databases as Topic
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[Construction of a High-precision Chemical Prediction System Using Human ESCs].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　Toxicity prediction based on stem cells and tissue derived from stem cells plays a very important role in the fields of biomedicine and pharmacology. Here we report on qRT-PCR data obtained by exposing 20 compounds to human embryonic stem (ES) cells...
Permethrin Embryonic Stem Cells Support Vector Machine Humans Neurotoxins Phenols Quantitative Structure-Activity Relationship Benzhydryl Compounds Toxicity Tests Carcinogens
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Prediction of Nursing Workload in Hospital.

Studies in health technology and informatics Jan 1, 2018
A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload. For this research project four predictive modell...
Logistic Models Support Vector Machine Workload Data Mining Nursing Staff, Hospital Humans Hospitals
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Human emotion classification based on multiple physiological signals by wearable system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.
Support Vector Machine Emotions Posture Algorithms Wearable Electronic Devices Electrocardiography Respiration Electroencephalography Signal Processing, Computer-Assisted Monitoring, Ambulatory Humans
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Multi-task fused sparse learning for mild cognitive impairment identification.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Brain functional connectivity network (BFCN) has been widely applied to identify biomarkers for the brain function understanding and brain diseases analysis.
Humans Algorithms Support Vector Machine Disease Progression Magnetic Resonance Imaging Databases, Factual Cognitive Dysfunction Biomarkers Image Processing, Computer-Assisted Brain
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Applications of Machine Learning in Fatty Live Disease Prediction.

Studies in health technology and informatics Jan 1, 2018
: Fatty liver disease (FLD) is considered the most prevalent form of chronic liver disease worldwide. The prediction of fatty liver disease is an important factor for effective treatment and reduce serious health consequences. We, therefore construct...
Logistic Models Support Vector Machine Sensitivity and Specificity Male Fatty Liver Humans Machine Learning Algorithms Female
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