AIMC Topic:
Bayes Theorem

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Probabilistic Contextual and Structural Dependencies Learning in Grammar-Based Genetic Programming.

Evolutionary computation Jun 1, 2021
Genetic Programming is a method to automatically create computer programs based on the principles of evolution. The problem of deceptiveness caused by complex dependencies among components of programs is challenging. It is important because it can mi...
Software Algorithms Bayes Theorem Neural Networks, Computer Machine Learning
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On the Efficiency of Machine Learning Models in Malaria Prediction.

Studies in health technology and informatics May 27, 2021
Malaria is still a real public health concern in Sub-Saharan African countries such as Senegal where it represents approximately 35% of the consultation activities in the hospitals. This is mainly due to the lack of appropriate medical care support a...
Algorithms Bayes Theorem Humans Malaria Machine Learning Senegal
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Clustering Results Interpretation of Continuous Variables Using Bayesian Inference.

Studies in health technology and informatics May 27, 2021
The present study is devoted to interpretable artificial intelligence in medicine. In our previous work we proposed an approach to clustering results interpretation based on Bayesian Inference. As an application case we used clinical pathways cluster...
Cluster Analysis Bayes Theorem Artificial Intelligence Algorithms
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Application of Bayesian networks to generate synthetic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a real dataset that could be employed by medical organizations to distribute health data to researchers, reducing the need for access to real data. We h...
Datasets as Topic Data Anonymization Information Dissemination Bayes Theorem Confidentiality Neural Networks, Computer Disclosure Humans Machine Learning Data Management
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Inter classifier comparison to detect voice pathologies.

Mathematical biosciences and engineering : MBE Mar 5, 2021
Voice pathologies are irregular vibrations produced due to vocal folds and various factors malfunctioning. In medical science, novel machine learning algorithms are applied to construct a system to identify disorders that occur invoice. This study ai...
Machine Learning Support Vector Machine Algorithms Bayes Theorem
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Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics Mar 1, 2021
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...
Patient Outcome Assessment Electronic Health Records Bayes Theorem Humans Feedback Patient Satisfaction Social Media Machine Learning Natural Language Processing
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Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning.

Medical care Mar 1, 2021
BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety.
Male Risk Assessment Female Hospitalization Hospital Mortality Support Vector Machine Length of Stay Time Factors Humans Machine Learning Forecasting Bayes Theorem Thrombocytopenia
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Machine learning made easy for optimizing chemical reactions.

Nature Feb 1, 2021
Machine Learning Computer Simulation Bayes Theorem Biophysical Phenomena
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PV[O]H: Noninvasive Enabling Technology, New Physiological Monitoring, and Big Data.

Military medicine Jan 25, 2021
INTRODUCTION: Measures of normal and abnormal physiology are interrelated and vary continuously. Our ability to detect and predict changes in physiology in real time has been limited in part by the requirement for blood sampling and the lack of a con...
Technology Humans Big Data Artificial Intelligence Monitoring, Physiologic Bayes Theorem
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Tool recommender system in Galaxy using deep learning.

GigaScience Jan 6, 2021
BACKGROUND: Galaxy is a web-based and open-source scientific data-processing platform. Researchers compose pipelines in Galaxy to analyse scientific data. These pipelines, also known as workflows, can be complex and difficult to create from thousands...
Bayes Theorem Software Deep Learning Workflow
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