AIMC Topic:
Bayes Theorem

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Machine learning and docking models for Mycobacterium tuberculosis topoisomerase I.

Tuberculosis (Edinburgh, Scotland) Jan 20, 2017
There is a shortage of compounds that are directed towards new targets apart from those targeted by the FDA approved drugs used against Mycobacterium tuberculosis. Topoisomerase I (Mttopo I) is an essential mycobacterial enzyme and a promising target...
Computer-Aided Design Drug Design Dose-Response Relationship, Drug Structure-Activity Relationship Humans Machine Learning Molecular Docking Simulation Mycobacterium smegmatis DNA Topoisomerases, Type I Topoisomerase I Inhibitors Mycobacterium tuberculosis Molecular Targeted Therapy Protein Conformation Bayes Theorem Antitubercular Agents Tuberculosis
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Statistical learning of parts and wholes: A neural network approach.

Journal of experimental psychology. General Jan 12, 2017
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contr...
Speech Perception Space Perception Humans Pattern Recognition, Visual Adult Field Dependence-Independence Neural Networks, Computer Choice Behavior Bayes Theorem Perceptual Masking Computer Simulation Paired-Associate Learning Semantics Discrimination Learning
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An ontological analysis of medical Bayesian indicators of performance.

Journal of biomedical semantics Jan 3, 2017
BACKGROUND: Biomedical ontologies aim at providing the most exhaustive and rigorous representation of reality as described by biomedical sciences. A large part of medical reasoning deals with diagnosis and is essentially probabilistic. It would be an...
Bayes Theorem Biological Ontologies
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A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data.

Sensors (Basel, Switzerland) Dec 23, 2016
This article describes an automated sensor-based system to detect pedestrians in an autonomous vehicle application. Although the vehicle is equipped with a broad set of sensors, the article focuses on the processing of the information generated by a ...
Pedestrians Humans Support Vector Machine Machine Learning Bayes Theorem Algorithms
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Sparse Coding and Counting for Robust Visual Tracking.

PloS one Dec 16, 2016
In this paper, we propose a novel sparse coding and counting method under Bayesian framework for visual tracking. In contrast to existing methods, the proposed method employs the combination of L0 and L1 norm to regularize the linear coefficients of ...
Artificial Intelligence Models, Theoretical Algorithms Bayes Theorem Image Processing, Computer-Assisted Motion
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Improving diagnostic recognition of primary hyperparathyroidism with machine learning.

Surgery Dec 15, 2016
BACKGROUND: Parathyroidectomy offers the only cure for primary hyperparathyroidism, but today only 50% of primary hyperparathyroidism patients are referred for operation, in large part, because the condition is widely under-recognized. The diagnosis ...
Parathyroidectomy Quality Improvement Hyperparathyroidism, Primary Predictive Value of Tests Bayes Theorem Parathyroid Hormone Sensitivity and Specificity Male Middle Aged Severity of Illness Index Case-Control Studies Algorithms ROC Curve Databases, Factual Humans Female Machine Learning
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LBSizeCleav: improved support vector machine (SVM)-based prediction of Dicer cleavage sites using loop/bulge length.

BMC bioinformatics Nov 25, 2016
BACKGROUND: Dicer is necessary for the process of mature microRNA (miRNA) formation because the Dicer enzyme cleaves pre-miRNA correctly to generate miRNA with correct seed regions. Nonetheless, the mechanism underlying the selection of a Dicer cleav...
DEAD-box RNA Helicases Humans Ribonuclease III Software Base Sequence Support Vector Machine Algorithms Nucleic Acid Conformation MicroRNAs RNA Precursors Bayes Theorem
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Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data.

Artificial intelligence in medicine Nov 17, 2016
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claims and prescription information, it is now possible to use hypothesis-free, data-driven approaches to mine medical databases for novel insight. The goa...
Bayes Theorem Disease Management Centers for Medicare and Medicaid Services, U.S. Humans Artificial Intelligence Databases, Factual United States
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An algorithm for direct causal learning of influences on patient outcomes.

Artificial intelligence in medicine Nov 5, 2016
OBJECTIVE: This study aims at developing and introducing a new algorithm, called direct causal learner (DCL), for learning the direct causal influences of a single target. We applied it to both simulated and real clinical and genome wide association ...
Humans Machine Learning Algorithms Genome-Wide Association Study Causality Alzheimer Disease Bayes Theorem Prognosis Patient Outcome Assessment Female Breast Neoplasms
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Accelerometer and Camera-Based Strategy for Improved Human Fall Detection.

Journal of medical systems Oct 29, 2016
In this paper, we address the problem of detecting human falls using anomaly detection. Detection and classification of falls are based on accelerometric data and variations in human silhouette shape. First, we use the exponentially weighted moving a...
Monitoring, Ambulatory Pattern Recognition, Automated Accelerometry Humans Accidental Falls Machine Learning Support Vector Machine Algorithms Bayes Theorem
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