AIMC Topic: Machine Learning
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DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative.
PloS one
Jul 18, 2025
Diabetes Mellitus is a global health concern, characterized by high blood sugar levels over a prolonged period, leading to severe complications if left unmanaged. The early identification of individuals at risk is critical for effective intervention ...
A cascade approach for the early detection and localization of myocardial infarction in 2D-echocardiography.
Medical engineering & physics
Jul 17, 2025
Myocardial infarction (MI) detection and localization through echocardiography are crucial for effective patient management. However, current diagnostic approaches rely heavily on visual assessment, which can be subjective. In this work we developed ...
Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.
BMC oral health
Jul 17, 2025
BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intellig...
Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS.
BMC bioinformatics
Jul 17, 2025
BACKGROUND: Clostridioides difficile is a major cause of hospital-acquired diarrhea and a driver of nosocomial outbreaks, yet rapid, accurate ribotype identification remains challenging. We sought to develop a MALDI-TOF MS-based workflow coupled with...
Development of a machine learning-derived model to predict unplanned ICU admissions after major non-cardiac surgery.
BMC anesthesiology
Jul 17, 2025
BACKGROUND: Unplanned postoperative intensive care unit admissions (UIAs) are rare events that cause significant challenges to perioperative workflow. We describe the development of a machine-learning derived model to predict UIAs using only widely u...
Explainable machine learning-driven models for predicting Parkinson's disease and its prognosis: obesity patterns associations and models development using NHANES 1999-2018 data.
Lipids in health and disease
Jul 17, 2025
BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative condition, the effect of obesity on PD remains controversial. We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine l...
Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing.
Scientific reports
Jul 17, 2025
The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanced computational models. Machine learning is a strong computational paradigm that can be integrated into a continuous process to enhance the drugs' so...
Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm.
Scientific reports
Jul 17, 2025
Athletic person's fatigue and stamina prediction plays a vital role for improving the overall performance in the sports. Identification of the athletic person's facial expression on track and field using image, is still a challenge task. The complex ...
Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.
Scientific reports
Jul 17, 2025
Elevated postprandial glucose levels present a global epidemic and a major challenge in type-2 diabetes (T2D) management. A key barrier to developing effective dietary interventions for T2D management is the wide inter-individual variation in glycemi...
Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.
Scientific reports
Jul 17, 2025
Avian Influenza (AI) outbreaks are on an increasing trajectory. This disease carries a substantial economic burden, resulting in considerable losses to farmers with profound impacts on economies. As the outbreaks continue in birds and other unusual h...
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