AIMC Topic: Bayes Theorem

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Development of an Intelligent System for the Monitoring and Diagnosis of the Well-Being.

Sensors (Basel, Switzerland) Dec 12, 2022
Today, society is more aware of their well-being and health, making wearable devices a new and affordable way to track them continuously. Smartwatches allow access to daily vital physiological measurements, which help people to be aware of their heal...
Humans Algorithms Monitoring, Physiologic Support Vector Machine Neural Networks, Computer Bayes Theorem Machine Learning
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Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.

BMC bioinformatics Dec 12, 2022
BACKGROUND: Cis-regulatory regions (CRRs) are non-coding regions of the DNA that fine control the spatio-temporal pattern of transcription; they are involved in a wide range of pivotal processes such as the development of specific cell-lines/tissues ...
Bayes Theorem Machine Learning Regulatory Sequences, Nucleic Acid Humans Deep Learning Neural Networks, Computer
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Development and international validation of logistic regression and machine-learning models for the prediction of 10-year molar loss.

Journal of clinical periodontology Dec 11, 2022
AIM: To develop and validate models based on logistic regression and artificial intelligence for prognostic prediction of molar survival in periodontally affected patients.
Artificial Intelligence Bayes Theorem Machine Learning Molar Logistic Models Humans Periodontitis Tooth Loss Neural Networks, Computer
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Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2022
Approximate Bayesian Computation is widely used in systems biology for inferring parameters in stochastic gene regulatory network models. Its performance hinges critically on the ability to summarize high-dimensional system responses such as time ser...
Bayes Theorem Neural Networks, Computer Gene Regulatory Networks Algorithms Systems Biology Time Factors
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data.

Chemical research in toxicology Dec 7, 2022
The development of toxicity classification models using the ToxCast database has been extensively studied. Machine learning approaches are effective in identifying the bioactivity of untested chemicals. However, ToxCast assays differ in the amount of...
Algorithms Bayes Theorem Biological Assay Logistic Models Toxicology Machine Learning Toxicity Tests
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Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods.

Diabetes & metabolic syndrome Dec 5, 2022
BACKGROUND & AIM: Diabetes mellitus has become one of the out brakes causing major health issues in developing countries like India. The need for leveraging technology is felt in diabetes management. The main objective of this work is to deploy machi...
Humans Machine Learning Bayes Theorem Risk Factors Demography Diabetes Mellitus
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Enhanced Classification of Dog Activities with Quaternion-Based Fusion Approach on High-Dimensional Raw Data from Wearable Sensors.

Sensors (Basel, Switzerland) Dec 4, 2022
The employment of machine learning algorithms to the data provided by wearable movement sensors is one of the most common methods to detect pets' behaviors and monitor their well-being. However, defining features that lead to highly accurate behavior...
Normal Distribution Bayes Theorem Dogs Animals Support Vector Machine Machine Learning Algorithms
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Human monkeypox diagnose (HMD) strategy based on data mining and artificial intelligence techniques.

Computers in biology and medicine Dec 2, 2022
In May 2022, monkeypox re-emerged as a rare zoonotic disease that is an important viral disease for public health. Monkeypox can be transmitted from animals to humans, between humans through close contact with an infected human, or with a virus stain...
Humans Bayes Theorem Mpox, Monkeypox Artificial Intelligence Algorithms Data Mining
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Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series.

International journal of environmental research and public health Dec 1, 2022
Tree-based machine learning methods have gained traction in the statistical and data science fields. They have been shown to provide better solutions to various research questions than traditional analysis approaches. To encourage the uptake of tree-...
Propensity Score Lung Neoplasms Bayes Theorem Humans Machine Learning Female
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Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection.

Sensors (Basel, Switzerland) Nov 30, 2022
Cybersecurity is one of the great challenges of today's world. Rapid technological development has allowed society to prosper and improve the quality of life and the world is more dependent on new technologies. Managing security risks quickly and eff...
Bayes Theorem Algorithms Quality of Life Neural Networks, Computer Machine Learning
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