AIMC Topic: Algorithms

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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports Jul 2, 2025
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post...
Aged Algorithms Aged, 80 and over Female Humans Male Machine Learning ROC Curve Hip Fractures
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

Scientific reports Jul 2, 2025
In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine...
Machine Learning Algorithms Humans Neural Networks, Computer Early Detection of Cancer Female Breast Neoplasms Dimensionality Reduction
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Employee loyalty evaluation using machine learning in technology-based small and medium-sized enterprises.

Scientific reports Jul 2, 2025
Employee loyalty is a major issue of sustainable human resource management. Small and medium-sized enterprises with high technology content and strong innovation ability are the main body of innovation with great vitality and potential. Employee loya...
Personnel Loyalty Technology China Machine Learning Humans Algorithms
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Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems.

Scientific reports Jul 2, 2025
As the global population is expected to reach 10.3 billion by the mid-2080s, optimizing agricultural production and resource management is crucial. Climate change and environmental degradation further complicate these challenges, impacting crop produ...
Machine Learning Water Algorithms Lactuca Agriculture Plant Leaves Nitrates
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal...
Algorithms Brain Neoplasms Humans Magnetic Resonance Imaging Neural Networks, Computer Image Processing, Computer-Assisted Multimodal Imaging
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ...
Tomography, X-Ray Computed Lung Early Detection of Cancer Genetic Algorithms Lung Neoplasms Humans Neural Networks, Computer Artificial Intelligence Algorithms
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.

Scientific reports Jul 2, 2025
Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of l...
Animals Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Penaeidae Ensemble Learning
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Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a...
Humans Algorithms Brain Neoplasms Diffusion Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Multi-scale fusion semantic enhancement network for medical image segmentation.

Scientific reports Jul 2, 2025
The application of sophisticated computer vision techniques for medical image segmentation (MIS) plays a vital role in clinical diagnosis and treatment. Although Transformer-based models are effective at capturing global context, they are often ineff...
Humans Semantics Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Cervical cancer prediction using machine learning models based on routine blood analysis.

Scientific reports Jul 2, 2025
Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing and treating CC is early detection, diagnosis, and treatment. This study aimed to develop an interpretable model for predicting CC risk using routine bl...
Machine Learning Algorithms Retrospective Studies Humans Adult Female Uterine Cervical Neoplasms Aged Middle Aged
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