AIMC Topic:
Bayes Theorem

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FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this work, we present FREGEX a method for automatically extracting features from biomedical texts based on regular expressions. Using Smith-Waterman and Needleman-Wunsch sequence alignment algorithms, tokens were extracted from biomedical texts an...
Bayes Theorem Algorithms Support Vector Machine
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Machine learning for classification of uterine activity outside pregnancy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The objective of this study was to investigate the use of classification methods by a machine-learning approach for discriminating the uterine activity during the four phases of the menstrual cycle. Four different classifiers, including support vecto...
Humans Machine Learning Algorithms Female Support Vector Machine Bayes Theorem Uterus Normal Distribution Menstrual Cycle
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Classification of Perceived Human Stress using Physiological Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this paper, we present an experimental study for the classification of perceived human stress using non-invasive physiological signals. These include electroencephalography (EEG), galvanic skin response (GSR), and photoplethysmography (PPG). We co...
Galvanic Skin Response Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Stress, Psychological Algorithms Support Vector Machine Bayes Theorem
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Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

The journal of trauma and acute care surgery Jul 1, 2019
BACKGROUND: Trauma has long been considered unpredictable. Artificial neural networks (ANN) have recently shown the ability to predict admission volume, acuity, and operative needs at a single trauma center with very high reliability. This model has ...
Geography, Medical United States Bayes Theorem Injury Severity Score Wounds and Injuries Trauma Centers Humans Neural Networks, Computer
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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

Journal of orthopaedic trauma Jul 1, 2019
OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have been implemented with demonstrated success in elective lower extremity joint arthroplasty. Yet, hip fracture outcomes are dependent on patient-level ...
Machine Learning Female Aged Humans United States Bayes Theorem Medicare Male Middle Aged Length of Stay Hip Fractures Arthroplasty, Replacement, Hip Health Care Costs Patient Care Bundles Health Expenditures
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An equivariant Bayesian convolutional network predicts recombination hotspots and accurately resolves binding motifs.

Bioinformatics (Oxford, England) Jul 1, 2019
MOTIVATION: Convolutional neural networks (CNNs) have been tremendously successful in many contexts, particularly where training data are abundant and signal-to-noise ratios are large. However, when predicting noisily observed phenotypes from DNA seq...
Neural Networks, Computer Proteins Bayes Theorem Recombination, Genetic
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Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Reproducibility of Results Adult Male Machine Learning Bayes Theorem Humans Amyotrophic Lateral Sclerosis Female Middle Aged Linear Models Disease Progression Cluster Analysis
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Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.

Briefings in bioinformatics May 21, 2019
In the course of infecting their hosts, pathogenic bacteria secrete numerous effectors, namely, bacterial proteins that pervert host cell biology. Many Gram-negative bacteria, including context-dependent human pathogens, use a type IV secretion syste...
Bacterial Secretion Systems Bayes Theorem Machine Learning Bacterial Proteins Algorithms Support Vector Machine
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TKRD: Trusted kernel rootkit detection for cybersecurity of VMs based on machine learning and memory forensic analysis.

Mathematical biosciences and engineering : MBE Mar 26, 2019
The promotion of cloud computing makes the virtual machine (VM) increasingly a target of malware attacks in cybersecurity such as those by kernel rootkits. Memory forensic, which observes the malicious tracks from the memory aspect, is a useful way f...
Area Under Curve Computers Machine Learning False Positive Reactions Bayes Theorem Support Vector Machine Algorithms Computer Security Decision Making Cloud Computing
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High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

Metallomics : integrated biometal science Mar 20, 2019
One potential source of new antibacterials is through probing existing chemical libraries for copper-dependent inhibitors (CDIs), i.e., molecules with antibiotic activity only in the presence of copper. Recently, our group demonstrated that previousl...
Microbial Sensitivity Tests Copper Machine Learning Staphylococcus aureus Anti-Bacterial Agents High-Throughput Screening Assays Bayes Theorem Small Molecule Libraries
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