AIMC Topic: Machine Learning

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Generalizing machine learning models from clinical free text.

Scientific reports Aug 28, 2025
To assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evalu...
Current Procedural Terminology Neural Networks, Computer Humans Machine Learning
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A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study.

JMIR medical informatics Aug 28, 2025
BACKGROUND: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be developed to reduce the manifestations of dental caries.
Algorithms Female Male Humans Machine Learning Adolescent Dental Caries Finland Risk Assessment Surveys and Questionnaires
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Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material.

PloS one Aug 28, 2025
3D printing has brought significant changes to manufacturing sectors, making it possible to produce intricate, multi-layered designs with greater ease. This study focuses on optimizing the compressive strength (CS) of functionally graded multi-materi...
Machine Learning Printing, Three-Dimensional Polyesters Compressive Strength Polymers Materials Testing
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The critical effects of self-management strategies on predicting cancer survivors' future quality of life and health status using machine learning techniques.

PloS one Aug 28, 2025
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...
Humans Machine Learning Female Aged Neoplasms Male Prospective Studies Quality of Life Middle Aged Cancer Survivors Adult Self-Management Health Status
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Fault diagnosis model based on multi-strategy adaptive COA and improved weighted kernel ELM: A case study on wind turbine blade icing.

PloS one Aug 28, 2025
The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-str...
Models, Theoretical Algorithms Wind Machine Learning
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Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare.

PloS one Aug 28, 2025
Liver disease encompasses a range of conditions affecting the liver, including hepatitis, cirrhosis, fatty liver, and liver cancer. It can be caused by infections, alcohol abuse, obesity, or genetic factors, and it often progresses silently until adv...
Machine Learning Algorithms Liver Diseases Delivery of Health Care Humans
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VNC-Dist: A machine learning-based semi-automated pipeline for quantification of neuronal position in the C. elegans ventral nerve cord.

PloS one Aug 28, 2025
The C. elegans ventral nerve cord (VNC) provides a genetically tractable model for investigating the developmental mechanisms involved in neuronal positioning and organization. The VNC of newly hatched larvae contains a set of 22 motoneurons organize...
Larva Neurons Software Animals Caenorhabditis elegans Motor Neurons Machine Learning
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Machine learning-based identification of diagnostic and prognostic mitotic cell cycle genes in hepatocellular carcinoma.

PloS one Aug 28, 2025
Mitotic cell cycle (MCC) is a critical process in cell growth and division, and dysregulation of MCC genes may contribute to tumorigenesis. In this study, to identify diagnostic and prognostic value of MCC genes, differentially expressed MCC genes be...
Humans Machine Learning Prognosis Male Gene Expression Profiling Female Middle Aged Liver Neoplasms Gene Expression Regulation, Neoplastic Biomarkers, Tumor Carcinoma, Hepatocellular Mitosis
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Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms.

International journal of health geographics Aug 27, 2025
BACKGROUND: The optimal placement of ambulances is critical for ensuring timely emergency medical responses, especially in regions with high accident frequencies. In Rwanda, where road accidents are a leading cause of injury and death, the strategic ...
Accidents, Traffic Algorithms Humans Ambulances Rwanda Machine Learning
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Predicting nepetalactone accumulation in Nepeta persica using machine learning algorithms and geospatial analysis.

Scientific reports Aug 27, 2025
Nepeta persica is a medicinal plant with significant pharmacological potential, primarily attributed to its high nepetalactone content. Understanding the environmental drivers of nepetalactone biosynthesis is essential for optimizing both cultivation...
Algorithms Ecosystem Machine Learning Nepeta Iran Pyrones
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