AIMC Topic: Bayes Theorem

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Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks.

Journal of chemical information and modeling Feb 29, 2024
Molecular design depends heavily on optical properties for applications such as solar cells and polymer-based batteries. Accurate prediction of these properties is essential, and multiple predictive methods exist, from to data-driven techniques. Alt...
Density Functional Theory Bayes Theorem Spectrum Analysis Neural Networks, Computer Machine Learning
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.

Oral radiology Feb 23, 2024
OBJECTIVES: We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.
Deep Learning Periodontitis Bayes Theorem Male Humans Middle Aged Neural Networks, Computer Radiography, Dental Algorithms Female Adult
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Application of the performance of machine learning techniques as support in the prediction of school dropout.

Scientific reports Feb 17, 2024
This article presents a study, intending to design a model with 90% reliability, which helps in the prediction of school dropouts in higher and secondary education institutions, implementing machine learning techniques. The collection of information ...
Bayes Theorem Student Dropouts Machine Learning Humans Reproducibility of Results Support Vector Machine Neural Networks, Computer
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Investigation on explainable machine learning models to predict chronic kidney diseases.

Scientific reports Feb 14, 2024
Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large proportion of the world's population and leading to higher morbidity and death rates. The early stages of CKD sometimes present without visible symptoms, causing pati...
Artificial Intelligence Machine Learning Humans Calcium Compounds Quality of Life Bayes Theorem Oxides Renal Insufficiency, Chronic Glycated Hemoglobin
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Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data.

BMC medical informatics and decision making Feb 14, 2024
Timely and accurate referral of end-stage heart failure patients for advanced therapies, including heart transplants and mechanical circulatory support, plays an important role in improving patient outcomes and saving costs. However, the decision-mak...
Heart Failure Humans Machine Learning Comorbidity Bayes Theorem Risk Factors
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Artificial Intelligence-Guided Segmentation and Path Planning Software for Transthoracic Lung Biopsy.

Journal of vascular and interventional radiology : JVIR Feb 12, 2024
PURPOSE: To validate the sensitivity and specificity of a 3-dimensional (3D) convolutional neural network (CNN) artificial intelligence (AI) software for lung lesion detection and to establish concordance between AI-generated needle paths and those u...
Lung Neoplasms Predictive Value of Tests Bayes Theorem Lung Deep Learning Image-Guided Biopsy Biopsy, Needle Radiographic Image Interpretation, Computer-Assisted Female Reproducibility of Results Male Middle Aged Aged Software Retrospective Studies Tomography, X-Ray Computed Humans
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DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients.

BMC medical informatics and decision making Feb 12, 2024
BACKGROUND: Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring optimal blood transfer throu...
Humans Artificial Intelligence Retrospective Studies Renal Dialysis Reproducibility of Results Bayes Theorem Deep Learning
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Prediction of dementia based on older adults' sleep disturbances using machine learning.

Computers in biology and medicine Feb 9, 2024
BACKGROUND: The most common degenerative condition in older adults is dementia, which can be predicted using a number of indicators and whose progression can be slowed down. One of the indicators of an increased risk of dementia is sleep disturbances...
Bayes Theorem Machine Learning Algorithms Dementia Support Vector Machine Aged Humans
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One-step Bayesian example-dependent cost classification: The OsC-MLP method.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2024
Example-dependent cost classification problems are those where the decision costs depend not only on the true and the attributed classes but also on the sample features. Discriminative algorithms that carry out such classification tasks must take thi...
Algorithms Neural Networks, Computer Learning Bayes Theorem
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MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads.

BMC bioinformatics Feb 7, 2024
BACKGROUND: The rapid advancement of next-generation sequencing (NGS) machines in terms of speed and affordability has led to the generation of a massive amount of biological data at the expense of data quality as errors become more prevalent. This i...
Machine Learning Software Algorithms Artificial Intelligence Bayes Theorem High-Throughput Nucleotide Sequencing Arabidopsis Staphylococcus aureus Escherichia coli Sequence Analysis, DNA
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