AIMC Topic: Bayes Theorem

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DRpred: A Novel Deep Learning-Based Predictor for Multi-Label mRNA Subcellular Localization Prediction by Incorporating Bayesian Inferred Prior Label Relationships.

Biomolecules Aug 26, 2024
The subcellular localization of messenger RNA (mRNA) not only helps us to understand the localization regulation of gene expression but also helps to understand the relationship between RNA localization pattern and human disease mechanism, which has ...
Bayes Theorem Deep Learning Computational Biology Humans RNA, Messenger Neural Networks, Computer
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Accurate diagnosis of acute appendicitis in the emergency department: an artificial intelligence-based approach.

Internal and emergency medicine Aug 21, 2024
The diagnosis of abdominal pain in emergency departments is challenging, and appendicitis is a common concern. Atypical symptoms often delay diagnosis. Although the Alvarado score aids in decision-making, its low specificity can lead to unnecessary s...
Male Middle Aged Emergency Service, Hospital Aged Adult Humans Sensitivity and Specificity Artificial Intelligence Machine Learning Algorithms Bayes Theorem Female Appendicitis Abdominal Pain
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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

Journal of imaging informatics in medicine Aug 20, 2024
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1...
Bayes Theorem Lung Diseases Radiography, Thoracic Monte Carlo Method Male Middle Aged Severity of Illness Index Female SARS-CoV-2 Humans Neural Networks, Computer COVID-19
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Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter.

Scientific reports Aug 14, 2024
The COVID-19 pandemic has disrupted people's lives and caused significant economic damage around the world, but its impact on people's mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic ...
Bayes Theorem Survivors Stress Disorders, Post-Traumatic Support Vector Machine Social Media Humans Machine Learning COVID-19 SARS-CoV-2 Mental Health
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Identification of medication-related fall risk in adults and older adults admitted to hospital: A machine learning approach.

Geriatric nursing (New York, N.Y.) Aug 14, 2024
The study aimed to develop and validate, through machine learning, a fall risk prediction model related to prescribed medications specific to adults and older adults admitted to hospital. A case-control study was carried out in a tertiary hospital, i...
Bayes Theorem Risk Assessment Case-Control Studies Accidental Falls Aged, 80 and over Male Machine Learning Algorithms Female Risk Factors Hospitalization Aged Humans
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Bayesian learning of feature spaces for multitask regression.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
This paper introduces a novel approach to learn multi-task regression models with constrained architecture complexity. The proposed model, named RFF-BLR, consists of a randomised feedforward neural network with two fundamental characteristics: a sing...
Humans Neural Networks, Computer Bayes Theorem Nonlinear Dynamics Machine Learning Algorithms Regression Analysis
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Considering multi-scale built environment in modeling severity of traffic violations by elderly drivers: An interpretable machine learning framework.

Accident; analysis and prevention Aug 13, 2024
The causes of traffic violations by elderly drivers are different from those of other age groups. To reduce serious traffic violations that are more likely to cause serious traffic crashes, this study divided the severity of traffic violations into t...
Humans Bayes Theorem Accidents, Traffic Automobile Driving Machine Learning Aged Aged, 80 and over Built Environment
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Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification information.

Computers in biology and medicine Aug 12, 2024
Automatic tumor segmentation via positron emission tomography (PET) and computed tomography (CT) images plays a critical role in the prevention, diagnosis, and treatment of this disease via radiation oncology. However, segmenting these tumors is chal...
Carcinoma, Non-Small-Cell Lung Image Processing, Computer-Assisted Fuzzy Logic Lung Neoplasms Humans Cluster Analysis Bayes Theorem Head and Neck Neoplasms Algorithms Positron Emission Tomography Computed Tomography
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Machine learning modeling of thermally assisted biodrying process for municipal sludge.

Waste management (New York, N.Y.) Aug 10, 2024
Preparation of activated carbons is an important way to utilize municipal sludge (MS) resources, while drying is a pretreatment method for making activated carbons from MS. In this study, machine learning techniques were used to develop moisture rati...
Bayes Theorem Machine Learning Sewage Temperature Composting Models, Theoretical
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Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans.

Journal of neuroscience methods Aug 10, 2024
The prevalence of brain tumor disorders is currently a global issue. In general, radiography, which includes a large number of images, is an efficient method for diagnosing these life-threatening disorders. The biggest issue in this area is that it t...
Magnetic Resonance Imaging Bayes Theorem Neuroimaging Humans Neural Networks, Computer Brain Neoplasms Deep Learning
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