AIMC Topic: Algorithms

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Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications.

PloS one Jun 4, 2025
The inferential results regarding estimates of Support Vector Regression (SVR) are highly influenced by anomalies and ill-conditioned predictors. Excessive dimensions of data also make the model complex. To improve estimation accuracy, this paper int...
Humans Computer Simulation Algorithms Support Vector Machine Principal Component Analysis
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Model parameterization of robotic systems through the bio-inspired optimization.

PloS one Jun 4, 2025
The accurate modeling of dynamic systems, particularly robotic ones, is crucial in the industry. It enables simulation-based approaches that facilitate various tasks without requiring the physical system, thereby reducing risks and costs. These appro...
Algorithms Computer Simulation Models, Theoretical Robotics
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Artificial intelligence-based Raynaud's quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud's phenomenon.

Arthritis research & therapy Jun 3, 2025
BACKGROUND: We aimed to develop an artificial intelligence algorithm able to assess Raynaud's phenomenon (RP) from mobile phone photography, ensuring as a patient-centered, image-based method for RP quantification.
Aged Adult Male Algorithms Cell Phone Patient-Centered Care Humans Female Raynaud Disease Thermography Artificial Intelligence Middle Aged Photography Severity of Illness Index Mobile Applications
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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.

BMC oral health Jun 3, 2025
OBJECTIVES: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes i...
Female Aged Adult Male Middle Aged Ultrasonography Adenoma, Pleomorphic Humans ROC Curve Machine Learning Support Vector Machine Algorithms Salivary Gland Neoplasms
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Efficient structure learning of gene regulatory networks with Bayesian active learning.

BMC bioinformatics Jun 3, 2025
BACKGROUND: Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. Bayesian causal discovery provides a principled framework for modeling observational d...
Algorithms Humans Bayes Theorem Gene Regulatory Networks Machine Learning Computational Biology
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique.

Scientific reports Jun 3, 2025
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)-optimized via the Black Widow Optim...
Thermodynamics Niflumic Acid Carbon Dioxide Solubility Machine Learning Anti-Inflammatory Agents, Non-Steroidal Solvents Algorithms Bayes Theorem
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Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Scientific reports Jun 3, 2025
Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (HEOR) evidence synthesis. SLRs involve the identification and selection of pertinent publications and extraction of relevant data elements from full-t...
Systematic Reviews as Topic Data Mining Humans Algorithms Deep Learning Natural Language Processing
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Development and validation of a risk prediction model for kinesiophobia in postoperative lung cancer patients: an interpretable machine learning algorithm study.

Scientific reports Jun 3, 2025
Kinesiophobia is particularly common in postoperative lung cancer patients, which causes patients may be reluctant to cough and move due to misperception, internal fear or fear of pain, and avoid rehabilitation training affecting postoperative recove...
Humans Machine Learning Algorithms Adult Cross-Sectional Studies Male Female Risk Factors Aged Kinesiophobia Lung Neoplasms Postoperative Period Phobic Disorders Middle Aged Risk Assessment
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FPA-based weighted average ensemble of deep learning models for classification of lung cancer using CT scan images.

Scientific reports Jun 3, 2025
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung cancer, particularly adenocarcinoma, is one of the deadliest forms and severely impacts human life. Early diagnosis and appropriate treatment significantl...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Lung Neoplasms Algorithms Tomography, X-Ray Computed Deep Learning
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Predicting genetic merit in Harnali sheep using machine learning techniques.

Tropical animal health and production Jun 3, 2025
Machine learning techniques offer promising avenues for enhancing animal breeding programs by leveraging genomic and phenotypic data to predict valuable traits accurately. In this study, we evaluated seven machine learning algorithms viz., K-nearest ...
Algorithms Phenotype Female Machine Learning Breeding Pedigree Sheep, Domestic Animals Male Bayes Theorem
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