AIMC Journal:
Computational and mathematical methods in medicine

Showing 351 to 360 of 406 articles

Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.

Computational and mathematical methods in medicine Jun 25, 2018
In law enforcement investigation cases, sex determination from skull morphology is one of the important steps in establishing the identity of an individual from unidentified human skeleton. To our knowledge, existing studies of sex determination of t...
Middle Aged China Adolescent Sex Determination by Skeleton Humans Forensic Anthropology Imaging, Three-Dimensional Young Adult Skull Female Unsupervised Machine Learning Aged Adult Male
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An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.

Computational and mathematical methods in medicine Jun 21, 2018
Parkinson's disease (PD) is a common neurodegenerative disease, which has attracted more and more attention. Many artificial intelligence methods have been used for the diagnosis of PD. In this study, an enhanced fuzzy -nearest neighbor (FKNN) method...
Algorithms Female Male Humans Aged Parkinson Disease Fuzzy Logic Artificial Intelligence Middle Aged Aged, 80 and over Cluster Analysis Support Vector Machine
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Information-Based Medicine in Glioma Patients: A Clinical Perspective.

Computational and mathematical methods in medicine Jun 13, 2018
Glioma constitutes the most common type of primary brain tumor with a dismal survival, often measured in terms of months or years. The thin line between treatment effectiveness and patient harm underpins the importance of tailoring clinical managemen...
Glioma Glioblastoma Neoplasm Recurrence, Local Machine Learning Precision Medicine Brain Neoplasms Humans
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Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain.

Computational and mathematical methods in medicine May 24, 2018
The clinical assistant diagnosis has a high requirement for the visual effect of medical images. However, the low frequency subband coefficients obtained by the NSCT decomposition are not sparse, which is not conducive to maintaining the details of t...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.

Computational and mathematical methods in medicine Apr 29, 2018
Pulmonary nodule recognition is the core module of lung CAD. The Support Vector Machine (SVM) algorithm has been widely used in pulmonary nodule recognition, and the algorithm of Multiple Kernel Learning Support Vector Machine (MKL-SVM) has achieved ...
Algorithms Support Vector Machine Humans Artificial Intelligence Lung Diseases
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Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants.

Computational and mathematical methods in medicine Mar 5, 2018
Arrhythmia is considered a life-threatening disease causing serious health issues in patients, when left untreated. An early diagnosis of arrhythmias would be helpful in saving lives. This study is conducted to classify patients into one of the sixte...
Datasets as Topic Cardiac Conduction System Disease Support Vector Machine Arrhythmias, Cardiac Humans
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Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.

Computational and mathematical methods in medicine Mar 4, 2018
This study investigated whether parameters derived from hand motions of expert and novice surgeons accurately and objectively reflect laparoscopic surgical skill levels using an artificial intelligence system consisting of a three-layer chaos neural ...
Feasibility Studies Task Performance and Analysis Movement Computer Simulation Surgeons Clinical Competence Laparoscopy Hand Computational Biology Education, Medical, Continuing Neural Networks, Computer Artificial Intelligence Machine Learning Humans
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Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Jan 30, 2018
We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or si...
Humans Machine Learning Software Algorithms Receptors, G-Protein-Coupled Area Under Curve Quercetin Ligands Reproducibility of Results ROC Curve Protein Binding Sequence Analysis, Protein False Positive Reactions Binding Sites Amino Acid Motifs
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A Biologically Inspired Approach to Frequency Domain Feature Extraction for EEG Classification.

Computational and mathematical methods in medicine Jan 23, 2018
Classification of electroencephalogram (EEG) signal is important in mental decoding for brain-computer interfaces (BCI). We introduced a feature extraction approach based on frequency domain analysis to improve the classification performance on diffe...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Movement Brain Humans Support Vector Machine Imagination Female Algorithms Electroencephalography
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Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.

Computational and mathematical methods in medicine Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Arrhythmias, Cardiac Ions Sodium Programming Languages Algorithms Potassium Reproducibility of Results Anti-Arrhythmia Agents Electrocardiography Cell Membrane Calcium Humans Regression Analysis Risk Artificial Intelligence Action Potentials Myocytes, Cardiac Heart Electrophysiology Software Models, Statistical Observer Variation Terfenadine Clinical Trials as Topic
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