AIMC Topic:
Bayes Theorem

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Developing robust arsenic awareness prediction models using machine learning algorithms.

Journal of environmental management Feb 4, 2018
Arsenic awareness plays a vital role in ensuring the sustainability of arsenic mitigation technologies. Thus far, however, few studies have dealt with the sustainability of such technologies and its associated socioeconomic dimensions. As a result, a...
India Support Vector Machine Bayes Theorem Arsenic Environmental Pollutants Humans Machine Learning Algorithms
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Inner and Outer Recursive Neural Networks for Chemoinformatics Applications.

Journal of chemical information and modeling Jan 26, 2018
Deep learning methods applied to problems in chemoinformatics often require the use of recursive neural networks to handle data with graphical structure and variable size. We present a useful classification of recursive neural network approaches into...
Software Bayes Theorem Algorithms Databases, Chemical Deep Learning Small Molecule Libraries
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Tiresias: Context-sensitive Approach to Decipher the Presence and Strength of MicroRNA Regulatory Interactions.

Theranostics Jan 1, 2018
MicroRNAs (miRNAs) are short non-coding RNAs that regulate expression of target messenger RNAs (mRNAs) post-transcriptionally. Understanding the precise regulatory role of miRNAs is of great interest since miRNAs have been shown to play an important ...
Computational Biology RNA, Messenger Gene Expression Regulation, Neoplastic MicroRNAs Humans Neural Networks, Computer Machine Learning Animals Bayes Theorem
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.

Computational and mathematical methods in medicine Dec 31, 2017
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The inv...
Breast Neoplasms Diagnosis, Computer-Assisted Humans Image Processing, Computer-Assisted Cluster Analysis Neural Networks, Computer Machine Learning Support Vector Machine Australia Bayes Theorem Algorithms Female Reproducibility of Results
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Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine Dec 21, 2017
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...
Injury Severity Score Monte Carlo Method Wounds and Injuries Prognosis Decision Trees Clinical Decision-Making Predictive Value of Tests Female Bayes Theorem Risk Factors Markov Chains Humans Decision Support Systems, Clinical Artificial Intelligence Logistic Models Decision Support Techniques Male United States Databases, Factual Risk Assessment
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Tracking Gaze and Visual Focus of Attention of People Involved in Social Interaction.

IEEE transactions on pattern analysis and machine intelligence Dec 13, 2017
The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the participan...
Databases, Factual Female Male Eye Movements Robotics Bayes Theorem Attention Markov Chains Humans Machine Learning Algorithms Normal Distribution Interpersonal Relations Fixation, Ocular Psychophysics
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Enhancement of force patterns classification based on Gaussian distributions.

Journal of biomechanics Dec 13, 2017
Description of the patterns of ground reaction force is a standard method in areas such as medicine, biomechanics and robotics. The fundamental parameter is the time course of the force, which is classified visually in particular in the field of clin...
Sports Gait Machine Learning Athletes Adult Mechanical Phenomena Humans Biomechanical Phenomena Normal Distribution Male Bayes Theorem
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A novel method for predicting kidney stone type using ensemble learning.

Artificial intelligence in medicine Dec 11, 2017
The high morbidity rate associated with kidney stone disease, which is a silent killer, is one of the main concerns in healthcare systems all over the world. Advanced data mining techniques such as classification can help in the early prediction of t...
Adolescent Child, Preschool Child Decision Support Systems, Clinical Young Adult Adult Male Middle Aged Data Mining Early Diagnosis Kidney Calculi Decision Trees Predictive Value of Tests Bayes Theorem Iran Neural Networks, Computer Machine Learning Decision Support Techniques Databases, Factual Female Risk Factors Aged Aged, 80 and over Humans
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Spatiotemporal Bayesian networks for malaria prediction.

Artificial intelligence in medicine Dec 11, 2017
Targeted intervention and resource allocation are essential for effective malaria control, particularly in remote areas, with predictive models providing important information for decision making. While a diversity of modeling technique have been use...
Humans Neural Networks, Computer Time Factors ROC Curve Area Under Curve Malaria Bayes Theorem Artificial Intelligence Nonlinear Dynamics Animals Disease Vectors Thailand Incidence
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Classification of cancer cells using computational analysis of dynamic morphology.

Computer methods and programs in biomedicine Dec 7, 2017
BACKGROUND AND OBJECTIVE: Detection of metastatic tumor cells is important for early diagnosis and staging of cancer. However, such cells are exceedingly difficult to detect from blood or biopsy samples at the disease onset. It is reported that cance...
Early Detection of Cancer Brain Neoplasms Humans Models, Statistical Supervised Machine Learning Software Neoplasms Glioblastoma Neoplasm Metastasis Algorithms Image Processing, Computer-Assisted Bayes Theorem Reproducibility of Results Support Vector Machine
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