AIMC Topic: Bayes Theorem

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Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

The Journal of international medical research Nov 1, 2024
OBJECTIVE: To externally validate by revision and update the study on the efficacy of nosocomial infection control (SENIC) model of surgical site infection (SSI) using logistic regression (LR) and machine learning (ML) approaches.
Adult Male Middle Aged Risk Factors Aged Humans Decision Trees Bayes Theorem Surgical Wound Infection Logistic Models Machine Learning Abdomen Retrospective Studies Models, Statistical Female
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Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.

Briefings in bioinformatics Sep 23, 2024
RNA 2'-O-methylation (Nm) is a crucial post-transcriptional modification with significant biological implications. However, experimental identification of Nm sites is challenging and resource-intensive. While multiple computational tools have been de...
Neural Networks, Computer Software Deep Learning Humans Methylation RNA Processing, Post-Transcriptional Computational Biology Bayes Theorem RNA
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Inference on the Macroscopic Dynamics of Spiking Neurons.

Neural computation Sep 17, 2024
The process of inference on networks of spiking neurons is essential to decipher the underlying mechanisms of brain computation and function. In this study, we conduct inference on parameters and dynamics of a mean-field approximation, simplifying th...
Humans Bayes Theorem Neurons Neural Networks, Computer Animals Algorithms Models, Neurological Action Potentials
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Balancing Acts: Tackling Data Imbalance in Machine Learning for Predicting Myocardial Infarction in Type 2 Diabetes.

Studies in health technology and informatics Aug 22, 2024
Type 2 Diabetes (T2D) is a prevalent lifelong health condition. It is predicted that over 500 million adults will be diagnosed with T2D by 2040. T2D can develop at any age, and if it progresses, it may cause serious comorbidities. One of the most cri...
Machine Learning Diabetes Mellitus, Type 2 Support Vector Machine Bayes Theorem Myocardial Infarction Humans
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Explainable Machine Learning Based Prediction of Severity of Heart Failure Using Primary Electronic Health Records.

Studies in health technology and informatics Aug 22, 2024
Heart Failure (HF) is a life-threatening condition. It affects more than 64 million people worldwide. Early diagnosis of HF is extremely crucial. In this study, we propose utilization of machine learning (ML) models to predict severity of HF from pri...
Humans Heart Failure Severity of Illness Index Diagnosis, Computer-Assisted Machine Learning Bayes Theorem Electronic Health Records
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Enhancing Periodontal Treatment Through the Integration of Deep Learning-Based Detection with Bayesian Network Models.

Studies in health technology and informatics Aug 22, 2024
This study incorporated deep learning for periodontal disease detection into a Bayesian network (BN) clinical decision support model for comprehensive periodontal care. BN structure and probabilities were based on clinical data and Faster R-CNN-detec...
Periodontal Diseases Humans Deep Learning Decision Support Systems, Clinical Bayes Theorem
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Prediction of Drug-Induced Liver Injury: From Molecular Physicochemical Properties and Scaffold Architectures to Machine Learning Approaches.

Chemical biology & drug design Aug 1, 2024
The process of developing new drugs is widely acknowledged as being time-intensive and requiring substantial financial investment. Despite ongoing efforts to reduce time and expenses in drug development, ensuring medication safety remains an urgent p...
Humans Machine Learning Pharmaceutical Preparations Computer Simulation Chemical and Drug Induced Liver Injury Bayes Theorem
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HTINet2: herb-target prediction via knowledge graph embedding and residual-like graph neural network.

Briefings in bioinformatics Jul 25, 2024
Target identification is one of the crucial tasks in drug research and development, as it aids in uncovering the action mechanism of herbs/drugs and discovering new therapeutic targets. Although multiple algorithms of herb target prediction have been...
Drugs, Chinese Herbal Bayes Theorem Algorithms Humans Deep Learning Neural Networks, Computer Medicine, Chinese Traditional
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Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network.

Postgraduate medical journal Jul 18, 2024
PURPOSE: To construct a clinical noncontrastive computed tomography (NCCT) deep learning joint model for predicting early hematoma expansion (HE) after cerebral hemorrhage (sICH) and evaluate its predictive performance.
Cerebral Hemorrhage Predictive Value of Tests Bayes Theorem Hematoma Disease Progression Deep Learning Logistic Models Tomography, X-Ray Computed Male Female Humans Aged Middle Aged
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Deep learning with a small dataset predicts chromatin remodelling contribution to winter dormancy of apple axillary buds.

Tree physiology Jul 2, 2024
Epigenetic changes serve as a cellular memory for cumulative cold recognition in both herbaceous and tree species, including bud dormancy. However, most studies have discussed predicted chromatin structure with respect to histone marks. In the presen...
Cold Temperature Seasons Malus Deep Learning Chromatin Assembly and Disassembly Epigenesis, Genetic Flowers Gene Expression Regulation, Plant Plant Dormancy Bayes Theorem
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