AIMC Topic: Machine Learning

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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets.

PloS one Jun 18, 2025
Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges, necessitating improved approaches. This study employs various machine learning (ML) algorithms, including KNN,...
Humans Machine Learning Algorithms Deep Learning Support Vector Machine Female Breast Neoplasms
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Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia.

PloS one Jun 18, 2025
Accurate drought prediction is essential for proactive water management and agricultural planning, especially in regions like Ethiopia that are highly susceptible to climate variability. This study investigates the classification of the Palmer Drough...
Machine Learning Soil Ethiopia Droughts Support Vector Machine
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Morphological traits and machine learning for genetic lineage prediction of two reef-building corals.

PloS one Jun 18, 2025
Integrating multiple lines of evidence that support molecular taxonomy analysis has proven to be a robust method for species delimitation in scleractinian corals. However, morphology often conflicts with genetic approaches due to high phenotypic plas...
Coral Reefs Anthozoa Animals Phylogeny Machine Learning Phenotype
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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...
Thyroid Diseases Machine Learning Algorithms Humans
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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...
Amino Acid Sequence Proto-Oncogene Proteins c-bcl-2 Leukemia, Myelogenous, Chronic, BCR-ABL Positive Machine Learning Support Vector Machine 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...
COVID-19 SARS-CoV-2 Machine Learning Pandemics Investments China Commerce Humans
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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 Deep Learning Educational Measurement Academic Success Male Students Learning Female
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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...
Drug Discovery Humans Protein Binding Machine Learning COVID-19 SARS-CoV-2 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...
Risk Factors Taiwan Retrospective Studies Aged, 80 and over Male Aged Female Pneumonia Humans Emergency Service, Hospital Middle Aged Machine Learning Patient Readmission Risk Assessment
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