AIMC Topic: Machine Learning

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Comprehensive framework for thyroid disorder diagnosis: Integrating advanced feature selection, genetic algorithms, and machine learning for enhanced accuracy and other performance matrices.

PloS one Jun 18, 2025
Thyroid hormones control crucial physiological activities, such as metabolism, oxidative stress, erythropoiesis, thermoregulation, and organ development. Hormonal imbalances may cause serious conditions like cognitive impairment, depression, and nerv...
Algorithms Thyroid Diseases Humans Machine Learning
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Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences.

PloS one Jun 18, 2025
The prevalence of Leukaemia, a malignant blood cancer that originates from hematopoietic progenitor cells, is increasing in Southeast Asia, with a worrisome fatality rate of 54%. Predicting outcomes in the early stages is vital for improving the chan...
Machine Learning Support Vector Machine Amino Acid Sequence Proto-Oncogene Proteins c-bcl-2 Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans
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Does the registration system reform reduce the finance sector's risk spillover effect in China's stock market-Causal inference based on dual machine learning.

PloS one Jun 18, 2025
With growing uncertainty in global trade, improving access to domestic capital markets has become an important way to manage financial risk spillovers. This study examines how the registration system reform affects the finance sector's risk spillover...
Pandemics COVID-19 SARS-CoV-2 Humans Machine Learning China Commerce Investments
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Research on learning achievement classification based on machine learning.

PloS one Jun 18, 2025
Academic achievement is an important index to measure the quality of education and students' learning outcomes. Reasonable and accurate prediction of academic achievement can help improve teachers' educational methods. And it also provides correspond...
Humans Machine Learning Learning Academic Success Students Deep Learning Educational Measurement Female Male
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Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Journal of chemical information and modeling Jun 17, 2025
Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottleneck of traditional scoring functions, many machine learning scoring functions (MLSFs) have been proposed for structure-based drug screening. However, ex...
COVID-19 SARS-CoV-2 Drug Discovery Humans Machine Learning Protein Binding Proteins Pharmaceutical Preparations
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General Chemically Intuitive Atom- and Bond-Level DFT Descriptors for Machine Learning Approaches to Reaction Condition Prediction.

Journal of chemical information and modeling Jun 17, 2025
We demonstrate the usefulness of general atom- and bond-level density functional theory (DFT) descriptors to enhance the performance of neural networks for general reaction condition prediction. We treat condition prediction as a multiclass classific...
Neural Networks, Computer Machine Learning Density Functional Theory
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Predicting 14-day readmission in middle-aged and elderly patients with pneumonia using emergency department data: a multicentre retrospective cohort study with a survival machine learning approach.

BMJ open Jun 17, 2025
OBJECTIVES: Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Gi...
Emergency Service, Hospital Patient Readmission Taiwan Pneumonia Aged Aged, 80 and over Male Middle Aged Risk Assessment Retrospective Studies Female Risk Factors Humans Machine Learning
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Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

Journal of cancer research and clinical oncology Jun 17, 2025
BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has further increased, but their identification of High-Risk Prognostic Pathological Components (HRPPC) is still a major challenge. In this study, we aimed to ...
Humans Machine Learning Prognosis Biomarkers, Tumor Male Middle Aged Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Female Aged Adult Retrospective Studies Tomography, X-Ray Computed
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Malaysia Bayes Theorem Heart Disease Risk Factors Middle Aged Risk Assessment Support Vector Machine Male Cardiovascular Diseases Humans Risk Factors Aged Adult Machine Learning Algorithms Female
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The continuous evolution of biomolecular force fields.

Structure (London, England : 1993) Jun 16, 2025
Biomolecular force fields have continuously evolved to improve their accuracy and broaden their applications in biological and therapeutic discoveries. The rapid adaptation of advanced computational technology, in particular the recent deep learning ...
Machine Learning Deep Learning Proteins Models, Molecular Molecular Dynamics Simulation
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