AIMC Topic: Support Vector Machine

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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Feasibility Studies Superficial Back Muscles Myofascial Pain Syndromes Ultrasonography Support Vector Machine Syndrome Female Young Adult Adult Sensitivity and Specificity Male Case-Control Studies Humans Algorithms
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DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition.

IEEE transactions on nanobioscience Jan 7, 2019
Efficient human promoter feature extraction is still a major challenge in genome analysis as it can better understand human gene regulation and will be useful for experimental guidance. Although many machine learning algorithms have been developed fo...
Humans Neural Networks, Computer Support Vector Machine Promoter Regions, Genetic
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An Enhancement of Computer Aided Approach for Colon Cancer Detection in WCE Images Using ROI Based Color Histogram and SVM2.

Journal of medical systems Jan 5, 2019
The colon cancer is formed by uncontrollable growth of abnormal cells in large intestine or colon that can affect both men and women and it is third cancer disease in the world. At present, Wireless Capsule Endoscopy (WCE) screening method is utilize...
Support Vector Machine Color Colonic Neoplasms Capsule Endoscopy Humans Algorithms Image Processing, Computer-Assisted
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Automatically Evaluating Balance: A Machine Learning Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 4, 2019
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) t...
Aged Male Middle Aged Machine Learning Female Reproducibility of Results Postural Balance Exercise Therapy Physical Therapy Modalities Pilot Projects Support Vector Machine Models, Statistical Humans Vestibular Diseases Physical Education and Training Self-Assessment Torso
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Using deep learning to identify translational research in genomic medicine beyond bench to bedside.

Database : the journal of biological databases and curation Jan 1, 2019
Tracking scientific research publications on the evaluation, utility and implementation of genomic applications is critical for the translation of basic research to impact clinical and population health. In this work, we utilize state-of-the-art mach...
Statistics as Topic Support Vector Machine Translational Research, Biomedical Task Performance and Analysis Deep Learning ROC Curve Genomics Neural Networks, Computer Reproducibility of Results
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PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Identifying specific residues for protein-DNA interactions are of considerable importance to better recognize the binding mechanism of protein-DNA complexes. Despite the fact that many computational DNA-binding residue prediction approach...
Binding Sites Protein Binding Humans Computational Biology Machine Learning DNA Support Vector Machine Algorithms DNA-Binding Proteins Protein Conformation
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Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.

BMC bioinformatics Dec 31, 2018
BACKGROUND: Distinction between pre-microRNAs (precursor microRNAs) and length-similar pseudo pre-microRNAs can reveal more about the regulatory mechanism of RNA biological processes. Machine learning techniques have been widely applied to deal with ...
Algorithms Computational Biology Support Vector Machine MicroRNAs Genome, Human Humans Machine Learning
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Learning from data to predict future symptoms of oncology patients.

PloS one Dec 31, 2018
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more ...
Depression Male Humans Neoplasms Neural Networks, Computer Support Vector Machine Anxiety Female Models, Psychological
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Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 29, 2018
The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different cadmium stress. Besides, a method involving wavelet transform and least square support vecto...
Solanum lycopersicum Cadmium Reproducibility of Results Plant Leaves Wavelet Analysis Spectroscopy, Near-Infrared Principal Component Analysis Support Vector Machine Least-Squares Analysis
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Using natural language processing and machine learning to identify breast cancer local recurrence.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cance...
Humans Support Vector Machine Reproducibility of Results Breast Neoplasms Natural Language Processing Machine Learning Unified Medical Language System Cohort Studies Neoplasm Recurrence, Local Electronic Health Records Female
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