AIMC Topic: Bayes Theorem

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Uncovering hidden and complex relations of pandemic dynamics using an AI driven system.

Scientific reports Jul 4, 2024
The COVID-19 pandemic continues to challenge healthcare systems globally, necessitating advanced tools for clinical decision support. Amidst the complexity of COVID-19 symptomatology and disease severity prediction, there is a critical need for robus...
SARS-CoV-2 Deep Learning Decision Support Systems, Clinical Bayes Theorem Humans Artificial Intelligence Pandemics COVID-19
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Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity.

Medical image analysis Jul 2, 2024
Automatic image-based severity estimation is an important task in computer-aided diagnosis. Severity estimation by deep learning requires a large amount of training data to achieve a high performance. In general, severity estimation uses training dat...
Diagnosis, Computer-Assisted Deep Learning Colitis, Ulcerative Humans Severity of Illness Index Bayes Theorem Image Interpretation, Computer-Assisted
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Prediction of in-hospital Mortality of Intensive Care Unit Patients with Acute Pancreatitis Based on an Explainable Machine Learning Algorithm.

Journal of clinical gastroenterology Jul 1, 2024
BACKGROUND AND AIM: Acute pancreatitis (AP) is potentially fatal. Therefore, early identification of patients at a high mortality risk and timely intervention are essential. This study aimed to establish an explainable machine-learning model for pred...
Aged Adult Male Algorithms Intensive Care Units Humans Female Hospital Mortality Machine Learning Middle Aged Bayes Theorem ROC Curve Risk Assessment Pancreatitis Severity of Illness Index
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Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes.

Sensors (Basel, Switzerland) Jun 30, 2024
Drowsiness is a main factor for various costly defects, even fatal accidents in areas such as construction, transportation, industry and medicine, due to the lack of monitoring vigilance in the mentioned areas. The implementation of a drowsiness dete...
Electrodes Sleep Stages Bayes Theorem Machine Learning Electroencephalography Humans Algorithms Signal Processing, Computer-Assisted Support Vector Machine
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Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.

Frontiers in public health Jun 27, 2024
INTRODUCTION: Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic ...
Bayes Theorem China Humans Ships Models, Statistical Machine Learning Emergency Medical Services Forecasting
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Identifying significant structural factors associated with knee pain severity in patients with osteoarthritis using machine learning.

Scientific reports Jun 26, 2024
Our main objective was to use machine learning methods to identify significant structural factors associated with pain severity in knee osteoarthritis patients. Additionally, we assessed the potential of various classes of imaging data using machine ...
Knee Joint Humans Pain Osteoarthritis, Knee Male Support Vector Machine Machine Learning Middle Aged Magnetic Resonance Imaging Female Severity of Illness Index Bayes Theorem Aged
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Improved classification of soil As contamination at continental scale: Resolving class imbalances using machine learning approach.

Chemosphere Jun 24, 2024
The identification of arsenic (As)-contaminated areas is an important prerequisite for soil management and reclamation. Although previous studies have attempted to identify soil As contamination via machine learning (ML) methods combined with soil sp...
Machine Learning Soil Environmental Monitoring Bayes Theorem Soil Pollutants Arsenic
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Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets.

Translational psychiatry Jun 21, 2024
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment selection still proceeds via "trial and error". Given the varied presentation of MDD and heterogeneity of treatment response, the use of machine learning to u...
Clinical Trials as Topic Antidepressive Agents Middle Aged Depressive Disorder, Major Bayes Theorem Humans Neural Networks, Computer Machine Learning Female Adult Male
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Machine learning-assisted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry toward rapid classification of milk products.

Journal of dairy science Jun 20, 2024
This study established a method for rapid classification of milk products by combining MALDI-TOF MS analysis with machine learning techniques. The analysis of 2 different types of milk products was used as an example. To select key variables as poten...
Bayes Theorem Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Milk Machine Learning Animals Support Vector Machine
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Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model.

Computer methods and programs in biomedicine Jun 17, 2024
BACKGROUND AND OBJECTIVE: Cardiovascular disease (CD) is a major global health concern, affecting millions with symptoms like fatigue and chest discomfort. Timely identification is crucial due to its significant contribution to global mortality. In h...
Bayes Theorem Confidentiality Data Anonymization Middle Aged Risk Assessment Logistic Models Privacy Artificial Intelligence Machine Learning Algorithms Female Male Humans Cardiovascular Diseases
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