AIMC Topic: Algorithms

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CAMIL: channel attention-based multiple instance learning for whole slide image classification.

Bioinformatics (Oxford, England) Feb 4, 2025
MOTIVATION: The classification task based on whole-slide images (WSIs) is a classic problem in computational pathology. Multiple instance learning (MIL) provides a robust framework for analyzing whole slide images with slide-level labels at gigapixel...
Multiple-Instance Learning Algorithms Algorithms Humans Image Processing, Computer-Assisted Computational Biology Machine Learning
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Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels.

Clinical chemistry Feb 3, 2025
BACKGROUND: Intravenous (IV) fluid contamination within clinical specimens causes an operational burden on the laboratory when detected, and potential patient harm when undetected. Even mild contamination is often sufficient to meaningfully alter res...
Humans Machine Learning Sensitivity and Specificity Male Ensemble Learning Algorithms Prospective Studies Female
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Real-Time sEMG Processing With Spiking Neural Networks on a Low-Power 5K-LUT FPGA.

IEEE transactions on biomedical circuits and systems Feb 1, 2025
The accurate modeling of hand movement based on the analysis of surface electromyographic (sEMG) signals offers exciting opportunities for the development of complex prosthetic devices and human-machine interfaces, moving from discrete gesture recogn...
Electromyography Algorithms Humans Fingers Gestures Neural Networks, Computer Signal Processing, Computer-Assisted
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[Establishing of mortality predictive model for elderly critically ill patients using simple bedside indicators and interpretable machine learning algorithms].

Zhonghua wei zhong bing ji jiu yi xue Feb 1, 2025
OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assess...
Humans Female Hospital Mortality Retrospective Studies Critical Illness Machine Learning APACHE Aged Intensive Care Units Organ Dysfunction Scores Male Algorithms Prognosis
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Constructing a Prognostic Model for Subtypes of Colorectal Cancer Based on Machine Learning and Immune Infiltration-Related Genes.

Journal of cellular and molecular medicine Feb 1, 2025
This study constructed a prognostic model combining machine learning-based immune infiltration-related genes in each CRC subtype. We used publicly accessible gene expression data and clinical information on colorectal cancer patients. Integrated bioi...
Gene Expression Profiling ROC Curve Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic DNA Copy Number Variations Humans Colorectal Neoplasms Prognosis Machine Learning Biomarkers, Tumor Female Algorithms Male
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Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2025
BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables real-time automatic tracking of surgical instruments.
Equipment Design Robotic Surgical Procedures Surgery, Computer-Assisted Surgical Instruments Humans Endoscopy Algorithms Point-of-Care Systems Computer Simulation Robotics
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Evolutionary multi-agent reinforcement learning in group social dilemmas.

Chaos (Woodbury, N.Y.) Feb 1, 2025
Reinforcement learning (RL) is a powerful machine learning technique that has been successfully applied to a wide variety of problems. However, it can be unpredictable and produce suboptimal results in complicated learning environments. This is espec...
Game Theory Cooperative Behavior Reinforcement, Psychology Biological Evolution Machine Learning Algorithms Humans Artificial Intelligence
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Predicting the bacterial host range of plasmid genomes using the language model-based one-class support vector machine algorithm.

Microbial genomics Feb 1, 2025
The prediction of the plasmid host range is crucial for investigating the dissemination of plasmids and the transfer of resistance and virulence genes mediated by plasmids. Several machine learning-based tools have been developed to predict plasmid h...
Genome, Bacterial Host Specificity Machine Learning Algorithms Bacteria Support Vector Machine Plasmids
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Prediction of the Appropriate Temperature and Pressure for Polymer Dissolution Using Machine Learning Models.

Molecular informatics Feb 1, 2025
The widespread use of polymer solutions in the chemical industry poses a significant challenge in determining optimal dissolution conditions. Traditionally, researchers have relied on experimental methods to estimate the processing parameters needed ...
Machine Learning Algorithms Temperature Neural Networks, Computer Pressure Polymers Solubility Solvents
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An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2025
BACKGROUND: This research aims to use deep learning to create automated systems for better breast cancer detection and categorisation in mammogram images, helping medical professionals overcome challenges such as time consumption, feature extraction ...
Humans Neural Networks, Computer Convolutional Neural Networks Reproducibility of Results Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Mammography Algorithms Deep Learning Female
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