AIMC Topic:
Bayes Theorem

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Bayesian unsupervised clustering identifies clinically relevant osteosarcoma subtypes.

Briefings in bioinformatics Nov 22, 2024
Identification of cancer subtypes is a critical step for developing precision medicine. Most cancer subtyping is based on the analysis of RNA sequencing (RNA-seq) data from patient cohorts using unsupervised machine learning methods such as hierarchi...
Osteosarcoma Bone Neoplasms Unsupervised Machine Learning Transcriptome Cluster Analysis Bayes Theorem Prognosis Gene Expression Profiling Humans
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[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].

Zhonghua wei zhong bing ji jiu yi xue Nov 1, 2024
OBJECTIVE: To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their famil...
Artificial Intelligence Algorithms Retrospective Studies Humans Neural Networks, Computer Decision Trees Bayes Theorem Stroke Female Logistic Models Data Mining
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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 Humans Decision Trees Retrospective Studies Risk Factors Female Bayes Theorem Abdomen Aged Surgical Wound Infection Logistic Models Machine Learning Models, Statistical
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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...
Bayes Theorem Neural Networks, Computer RNA Processing, Post-Transcriptional RNA Software Humans Computational Biology Methylation Deep Learning
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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...
Bayes Theorem Neurons Animals Humans Models, Neurological Neural Networks, Computer Action Potentials Algorithms
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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...
Humans Machine Learning Bayes Theorem Myocardial Infarction Diabetes Mellitus, Type 2 Support Vector Machine
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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...
Heart Failure Severity of Illness Index Diagnosis, Computer-Assisted Bayes Theorem Machine Learning Electronic Health Records Humans
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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...
Humans Decision Support Systems, Clinical Periodontal Diseases Deep Learning 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...
Chemical and Drug Induced Liver Injury Bayes Theorem Machine Learning Pharmaceutical Preparations Humans Computer Simulation
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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 Humans Bayes Theorem Deep Learning Algorithms Neural Networks, Computer Medicine, Chinese Traditional
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