AIMC Topic: Bayes Theorem

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A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections.

BMC pulmonary medicine Mar 17, 2025
BACKGROUND: In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance and increased antimicrobial use intensity due to overexposure to antibiotics are common problems. In the present study, we constructed a machine learni...
Female Piperacillin, Tazobactam Drug Combination Aged Support Vector Machine Adult Bayes Theorem Machine Learning Respiratory Tract Infections Anti-Bacterial Agents Retrospective Studies ROC Curve Logistic Models Treatment Outcome Male Middle Aged China Humans
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Use machine learning to predict treatment outcome of early childhood caries.

BMC oral health Mar 15, 2025
BACKGROUND: Early childhood caries (ECC) is a major oral health problem among preschool children that can significantly influence children's quality of life. Machine learning can accurately predict the treatment outcome but its use in ECC management ...
Female Male Child, Preschool Treatment Outcome Bayes Theorem Dental Caries Humans Machine Learning Oral Hygiene
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AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.

International journal of medical informatics Mar 12, 2025
BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO). In psychiatric wards, managing harmful behaviors such as suicide, self-harm, and aggression is essential to ensure patient and staff safety. However...
Male Republic of Korea Bayes Theorem Humans Middle Aged Female Psychiatric Department, Hospital Artificial Intelligence Risk Assessment Adult Mental Disorders
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Integrating partial least square structural equation modelling and machine learning for causal exploration of environmental phenomena.

Environmental research Mar 11, 2025
Understanding the causes of environmental phenomena is crucial for promoting positive outcomes and mitigating negative ones. Partial least squares structural equation modelling (PLS-SEM) is becoming a valuable tool for evaluating causal relationships...
Least-Squares Analysis Harmful Algal Bloom China Machine Learning Environmental Monitoring Lakes Bayes Theorem
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Application and design of a decision-making model in ethical dilemma for self-driving cars.

Scientific reports Mar 10, 2025
Artificial intelligence (AI) has promoted application and development of self-driving cars. However, when self-driving cars encounter ethical dilemma, it is still hard to make a satisficing and clear decision-making by these present moral rules and m...
Automobiles Bayes Theorem Automobile Driving Ethical Dilemmas Artificial Intelligence Models, Theoretical Decision Making Humans
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Explainable deep learning models for predicting water pipe failures.

Journal of environmental management Mar 6, 2025
Failures within water distribution networks (WDNs) lead to significant environmental and economic impacts. While existing research has established various predictive models for pipe failures, there remains a lack of studies focusing on the probabilit...
Water Supply Deep Learning Bayes Theorem Hong Kong Neural Networks, Computer Algorithms
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Construction and validation of a predictive model for meningoencephalitis in pediatric scrub typhus based on machine learning algorithms.

Emerging microbes & infections Mar 5, 2025
To retrospectively analyze the clinical characteristics of pediatric scrub typhus (ST) with meningoencephalitis (STME) and to construct and validate predictive models using machine learning.Clinical data were collected from 100 cases of pediatric STM...
Infant Adolescent Child, Preschool Female Risk Factors Male Orientia tsutsugamushi Scrub Typhus Meningoencephalitis Doxycycline Child Humans Bayes Theorem Azithromycin Algorithms Machine Learning Anti-Bacterial Agents Retrospective Studies
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Interpretable machine learning unveils key predictors and default values in an expanded database of human in vitro dermal absorption studies with pesticides.

Regulatory toxicology and pharmacology : RTP Mar 4, 2025
The skin is the main route of exposure to plant protection products for operators, workers, residents, and bystanders. Assessing dermal absorption is key for evaluating pesticide exposure. The initial approach to risk assessment involves using defaul...
Humans Machine Learning Bayes Theorem Skin Pesticides Skin Absorption Databases, Factual Risk Assessment In Vitro Techniques
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miRNA-Based Diagnosis of Schizophrenia Using Machine Learning.

International journal of molecular sciences Mar 4, 2025
Diagnostic practices for schizophrenia are unreliable due to the lack of a stable biomarker. However, machine learning holds promise in aiding in the diagnosis of schizophrenia and other neurological disorders. Dysregulated miRNAs were extracted from...
Bayes Theorem Schizophrenia Humans Biomarkers MicroRNAs Neural Networks, Computer Machine Learning
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SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models.

Neuroinformatics Mar 3, 2025
Despite the vast number of publications reporting seizures and the reliance of the field on accurate seizure detection, there is a lack of open-source software tools in the scientific community for automating seizure detection based on electrographic...
Seizures Mice Bayes Theorem Machine Learning Electroencephalography Software Animals
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