AIMC Topic: Algorithms

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Machine Learning and the Profession of Medicine.

JAMA Feb 9, 2016
Biomedical Technology Humans Cell Phone Machine Learning Algorithms Medicine Physician-Patient Relations
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[MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 1, 2016
Considering the low accuracy of prediction in the positive samples and poor overall classification effects caused by unbalanced sample data of MicroRNA (miRNA) target, we proposes a support vector machine (SVM)-integration of under-sampling and weigh...
MicroRNAs Algorithms Support Vector Machine
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Sparse electrocardiogram signals recovery based on solving a row echelon-like form of system.

IET systems biology Feb 1, 2016
The study of biology and medicine in a noise environment is an evolving direction in biological data analysis. Among these studies, analysis of electrocardiogram (ECG) signals in a noise environment is a challenging direction in personalized medicine...
Algorithms Computer Simulation Signal Processing, Computer-Assisted Electrocardiography Machine Learning
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Fractal and twin SVM-based handgrip recognition for healthy subjects and trans-radial amputees using myoelectric signal.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
Identifying functional handgrip patterns using surface electromygram (sEMG) signal recorded from amputee residual muscle is required for controlling the myoelectric prosthetic hand. In this study, we have computed the signal fractal dimension (FD) an...
Reference Values Pattern Recognition, Automated Muscle Contraction Fractals Amputation Stumps Hand Strength Female Sensitivity and Specificity Muscle, Skeletal Reproducibility of Results Male Electromyography Adult Support Vector Machine Humans Algorithms
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Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.

Journal of digital imaging Feb 1, 2016
Radiology report narrative contains a large amount of information about the patient's health and the radiologist's interpretation of medical findings. Most of this critical information is entered in free text format, even when structured radiology re...
Humans Cluster Analysis Machine Learning Natural Language Processing Algorithms Radiology Information Systems Models, Theoretical
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Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation.

Journal of digital imaging Feb 1, 2016
Architecture distortion (AD) is an important and early sign of breast cancer, but due to its subtlety, it is often missed on the screening mammograms. The objective of this study is to create a quantitative approach for texture classification of AD b...
Humans Mammography Algorithms Breast Databases, Factual Breast Neoplasms Support Vector Machine Female Reproducibility of Results
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Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain.

Journal of digital imaging Feb 1, 2016
Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and follow-up studies of various diseases. It provides a composite image containing critical information of source images required for better localization and def...
Image Interpretation, Computer-Assisted Tomography, Emission-Computed, Single-Photon Computer Simulation Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Stroke Neural Networks, Computer Algorithms Brain Humans
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Machine Learning Algorithms Computer Simulation Humans Adult Sensitivity and Specificity Male Female Reproducibility of Results Young Adult Imagination Evoked Potentials, Somatosensory Sensorimotor Cortex Brain-Computer Interfaces Oscillometry Evoked Potentials, Motor Discriminant Analysis Nonlinear Dynamics Pattern Recognition, Automated
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Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.

Medical care Feb 1, 2016
BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-...
Humans Sensitivity and Specificity Algorithms Male Databases, Factual Middle Aged Natural Language Processing Electronic Health Records Female Information Storage and Retrieval Liver Neoplasms Aged International Classification of Diseases United States United States Department of Veterans Affairs Socioeconomic Factors
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[An Introduction to Machine Learning].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2016
Cardiovascular Diseases Humans Machine Learning Algorithms
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