AIMC Topic:
Bayes Theorem

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Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learning.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Jun 30, 2023
BACKGROUND: The prediction tools developed from general population data to predict all-cause mortality are not adapted to chronic kidney disease (CKD) patients, because this population displays a higher mortality risk. This study aimed to create a cl...
Renal Insufficiency, Chronic Bayes Theorem Parathyroid Hormone Humans Machine Learning
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[Research on mild cognitive impairment diagnosis based on Bayesian optimized long-short-term neural network model].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2023
The recurrent neural network architecture improves the processing ability of time-series data. However, issues such as exploding gradients and poor feature extraction limit its application in the automatic diagnosis of mild cognitive impairment (MCI)...
Cognitive Dysfunction Bayes Theorem Algorithms Brain Humans Neural Networks, Computer
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Graph deep learning enabled spatial domains identification for spatial transcriptomics.

Briefings in bioinformatics May 19, 2023
Advancing spatially resolved transcriptomics (ST) technologies help biologists comprehensively understand organ function and tissue microenvironment. Accurate spatial domain identification is the foundation for delineating genome heterogeneity and ce...
Bayes Theorem Cell Communication Transcriptome Gene Expression Profiling Deep Learning
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Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer.

Cancer research Apr 14, 2023
UNLABELLED: Survival rates of patients with metastatic castration-resistant prostate cancer (mCRPC) are low due to lack of response or acquired resistance to available therapies, such as abiraterone (Abi). A better understanding of the underlying mol...
Androstenes Proto-Oncogene Proteins c-ets Proto-Oncogene Proteins c-myb Prostatic Neoplasms Drug Resistance, Neoplasm Humans Transcription, Genetic Bayes Theorem Machine Learning Repressor Proteins Computer Simulation Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Gene Expression Profiling Male Gene Regulatory Networks
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Modulating hierarchical learning by high-definition transcranial alternating current stimulation at theta frequency.

Cerebral cortex (New York, N.Y. : 1991) Apr 4, 2023
Considerable evidence highlights the dorsolateral prefrontal cortex (DLPFC) as a key region for hierarchical (i.e. multilevel) learning. In a previous electroencephalography (EEG) study, we found that the low-level prediction errors were encoded by f...
Humans Electroencephalography Transcranial Direct Current Stimulation Deep Learning Bayes Theorem Reversal Learning
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Analysis of 'One in a Million' primary care consultation conversations using natural language processing.

BMJ health & care informatics Apr 1, 2023
BACKGROUND: Modern patient electronic health records form a core part of primary care; they contain both clinical codes and free text entered by the clinician. Natural language processing (NLP) could be employed to generate these records through 'lis...
Humans Electronic Health Records Communication Natural Language Processing Primary Health Care Bayes Theorem
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Stochastic photonic spiking neuron for Bayesian inference with unsupervised learning.

Optics letters Mar 15, 2023
Stochasticity is an inherent feature of biological neural activities. We propose a noise-injection scheme to implement a GHz-rate stochastic photonic spiking neuron (S-PSN). The firing-probability encoding is experimentally demonstrated and exploited...
Bayes Theorem Neurons Action Potentials Unsupervised Machine Learning Neural Networks, Computer
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Sudden cardiac death multiparametric classification system for Chagas heart disease's patients based on clinical data and 24-hours ECG monitoring.

Mathematical biosciences and engineering : MBE Mar 14, 2023
About 6.5 million people are infected with Chagas disease (CD) globally, and WHO estimates that $ > million people worldwide suffer from ChHD. Sudden cardiac death (SCD) represents one of the leading causes of death worldwide and affects approximatel...
Death, Sudden, Cardiac Humans Electrocardiography Machine Learning Bayes Theorem Risk Assessment
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Deep Learning in Population Genetics.

Genome biology and evolution Feb 3, 2023
Population genetics is transitioning into a data-driven discipline thanks to the availability of large-scale genomic data and the need to study increasingly complex evolutionary scenarios. With likelihood and Bayesian approaches becoming either intra...
Genetics, Population Deep Learning Bayes Theorem Neural Networks, Computer Algorithms
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Comparative analysis of weka-based classification algorithms on medical diagnosis datasets.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: With the advent of 5G and the era of Big Data, the rapid development of medical information technology around the world, the massive application of electronic medical records and cases, and the digitization of medical equipment and instru...
Bayes Theorem Humans Algorithms Electronic Health Records Machine Learning Random Forest
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