AIMC Topic: Algorithms

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Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSE: The purpose of this article is to compare the predictive power of two models trained with computed tomography (CT)-based radiological features and both CT-based radiological and clinical features for pathologic femoral fractures in patients ...
Adult Male Middle Aged Female Risk Factors Aged Odds Ratio Fractures, Spontaneous Femoral Fractures ROC Curve Lung Neoplasms Logistic Models Humans Machine Learning Algorithms Tomography, X-Ray Computed
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Gait features analysis using artificial neural networks - testing the footwear effect.

Acta of bioengineering and biomechanics Jan 1, 2017
PURPOSE: The aim of this paper is to provide the methods for automatic detection of the difference in gait features depending on a footwear.
Adult Algorithms Shoes Knee Joint Female Humans Sensitivity and Specificity Pattern Recognition, Automated Reproducibility of Results Neural Networks, Computer Gait Electromyography Ankle Joint Range of Motion, Articular Adaptation, Physiological
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Logical Reasoning (Inferencing) on MicroRNA Data.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2017
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated ...
Logic Humans Artificial Intelligence Databases, Genetic Algorithms MicroRNAs Animals Knowledge Bases Genomics
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Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks.

Studies in health technology and informatics Jan 1, 2017
BACKGROUND: Tagging text data with codes representing biomedical concepts plays an important role in medical data management and analysis. A problem occurs if there are ambiguous words linked to several concepts.
Unified Medical Language System Algorithms Natural Language Processing Medical Subject Headings Neural Networks, Computer
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A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Journal of X-ray science and technology Jan 1, 2017
PURPOSE: To develop and test a deep learning based computer-aided diagnosis (CAD) scheme of mammograms for classifying between malignant and benign masses.
Humans Neural Networks, Computer Machine Learning Algorithms Female Breast Neoplasms Mammography Image Interpretation, Computer-Assisted
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Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction.

Studies in health technology and informatics Jan 1, 2017
The mapping of unstructured clinical text to an ontology facilitates meaningful secondary use of health records but is non-trivial due to lexical variation and the abundance of misspellings in hurriedly produced notes. Here, we apply several spelling...
Natural Language Processing Algorithms Quality Assurance, Health Care Vocabulary, Controlled Electronic Health Records Systematized Nomenclature of Medicine Meaningful Use Sweden
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Identification of Cell Cycle-Regulated Genes by Convolutional Neural Network.

Combinatorial chemistry & high throughput screening Jan 1, 2017
BACKGROUND: The cell cycle-regulated genes express periodically with the cell cycle stages, and the identification and study of these genes can provide a deep understanding of the cell cycle process. Large false positives and low overlaps are big pro...
Saccharomyces cerevisiae Cell Cycle Proteins Saccharomyces cerevisiae Proteins Algorithms Databases, Genetic Neural Networks, Computer
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Some Remarks on Prediction of Drug-Target Interaction with Network Models.

Current topics in medicinal chemistry Jan 1, 2017
System-level understanding of the relationships between drugs and targets is very important for enhancing drug research, especially for drug function repositioning. The experimental methods used to determine drug-target interactions are usually time-...
Ligands Molecular Targeted Therapy Ion Channels Humans Neural Networks, Computer Algorithms Molecular Docking Simulation Receptors, G-Protein-Coupled Pharmaceutical Preparations
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Epileptic seizure detection in EEG signal with GModPCA and support vector machine.

Bio-medical materials and engineering Jan 1, 2017
BACKGROUND AND OBJECTIVE: Epilepsy is one of the most common neurological disorders caused by recurrent seizures. Electroencephalograms (EEGs) record neural activity and can detect epilepsy. Visual inspection of an EEG signal for epileptic seizure de...
Humans Algorithms Support Vector Machine Signal Processing, Computer-Assisted Principal Component Analysis Electroencephalography Epilepsy
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Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2017
Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring antimicrobial peptides (AMPs) as templates for novel drug design. While experimentalists mainly focus on systematic point mutations to measure the effec...
Neural Networks, Computer Machine Learning Gram-Positive Bacteria Genetic Engineering Decision Trees Antimicrobial Cationic Peptides Algorithms Gram-Negative Bacteria Drug Design Computational Biology
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