AIMC Topic:
Bayes Theorem

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Gene Regulatory Relationship Mining Using Improved Three-Phase Dependency Analysis Approach.

IEEE/ACM transactions on computational biology and bioinformatics Oct 1, 2018
How to mine the gene regulatory relationship and construct gene regulatory network (GRN) is of utmost interest within the whole biological community, however, which has been consistently a challenging problem since the tremendous complexity in cellul...
Computational Biology Bayes Theorem Zea mays Data Mining Machine Learning Algorithms Gene Regulatory Networks
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Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy.

Radiological physics and technology Sep 28, 2018
This study aimed to investigate the feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy. The relationships between the reference centroids of prosta...
Prostate Feasibility Studies Radiotherapy Planning, Computer-Assisted Male Bayes Theorem Prostatic Neoplasms Machine Learning Tomography, X-Ray Computed Humans
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Estimation of the Basic Reproduction Number and Vaccination Coverage of Influenza in the United States (2017-18).

Journal of research in health sciences Sep 22, 2018
BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the coverage while guiding them in planning the process of vaccination strategy. Since the trend and mechanism of influenza is very similar in different countri...
Basic Reproduction Number Bayes Theorem Humans Epidemics Influenza, Human Vaccination Vaccination Coverage Health Services Needs and Demand United States
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Predicting lysine lipoylation sites using bi-profile bayes feature extraction and fuzzy support vector machine algorithm.

Analytical biochemistry Sep 12, 2018
Lipoylation is a highly conserved post-translational modification which has been found to be involved in many biological processes and closely associated with various metabolic diseases. The accurate identification of lipoylation sites is necessary t...
Support Vector Machine Fuzzy Logic Lysine Bayes Theorem Lipoylation
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Machine Learning and Primary Total Knee Arthroplasty: Patient Forecasting for a Patient-Specific Payment Model.

The Journal of arthroplasty Sep 5, 2018
BACKGROUND: Value-based and patient-specific care represent 2 critical areas of focus that have yet to be fully reconciled by today's bundled care model. Using a predictive naïve Bayesian model, the objectives of this study were (1) to develop a mach...
Databases, Factual Comorbidity Length of Stay ROC Curve Humans Machine Learning Algorithms Costs and Cost Analysis Patient-Specific Modeling Inpatients Bayes Theorem Patient Care Bundles Health Expenditures Models, Economic Arthroplasty, Replacement, Knee
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Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

Journal of medical systems Sep 1, 2018
Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to South Asia and has been taking so many lives every year in the past decade. But recently, this disease has been witnessed in other regions to a large e...
Disease Outbreaks Humans Bayes Theorem Kyasanur Forest Disease Neural Networks, Computer Algorithms
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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

European radiology Aug 30, 2018
OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for discriminating low and high nuclear grade clear cell renal cell carcinomas (cc-RCCs).
Nephrectomy Support Vector Machine Humans Diagnosis, Differential Retrospective Studies Bayes Theorem Machine Learning Tomography, X-Ray Computed Algorithms Adult Female Kidney Neoplasms Biopsy Male Reproducibility of Results Data Collection Carcinoma, Renal Cell Middle Aged Aged
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Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.

Molecular pharmaceutics Aug 28, 2018
Many chemicals that disrupt endocrine function have been linked to a variety of adverse biological outcomes. However, screening for endocrine disruption using in vitro or in vivo approaches is costly and time-consuming. Computational methods, e.g., q...
Protein Binding Support Vector Machine Bayes Theorem Receptors, Estrogen Software Algorithms Animals Humans Machine Learning
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Predictive pollen-based biome modeling using machine learning.

PloS one Aug 23, 2018
This paper investigates suitability of supervised machine learning classification methods for classification of biomes using pollen datasets. We assign modern pollen samples from Africa and Arabia to five biome classes using a previously published Af...
Decision Trees Bayes Theorem Discriminant Analysis Logistic Models Ecosystem Supervised Machine Learning Support Vector Machine Neural Networks, Computer Pollen Africa Climate Change Algorithms Fossils Models, Statistical Statistics, Nonparametric
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Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2018
The ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-sp...
Ecological Parameter Monitoring Neural Networks, Computer Oregon Machine Learning Climate Change Atmosphere Carbon Cycle Models, Theoretical Carbon Bayes Theorem
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