AIMC Journal:
Scientific reports

Showing 1411 to 1420 of 5367 articles

XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer.

Scientific reports Nov 19, 2024
Early diagnosis of breast cancer is exceptionally important in signifying the treatment results, of women's health. The present study outlines a novel approach for analyzing breast cancer data by using the CatBoost classification model with a multi-l...
Breast Neoplasms Early Detection of Cancer Humans Artificial Intelligence Neural Networks, Computer Algorithms Female
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer.

Scientific reports Nov 19, 2024
Early Diagnosis of oral cancer is very important and can save you from some oral malignancies. However, while this approach aids in the rapid healing of patients and the preservation of their lives, there are several causes for poor and wrong diagnos...
Humans Early Detection of Cancer Mouth Neoplasms Neural Networks, Computer Urochordata Algorithms Animals Deep Learning Image Processing, Computer-Assisted
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Development of machine learning models for predicting depressive symptoms in knee osteoarthritis patients.

Scientific reports Nov 19, 2024
Knee osteoarthritis (KOA) combined with depressive symptoms is prevalent and leads to poor outcomes and significant financial burdens. However, practical tools for identifying at-risk patients remain limited. A robust prediction model is needed to ad...
Decision Trees Osteoarthritis, Knee Depression ROC Curve Longitudinal Studies Middle Aged China Female Humans Aged Neural Networks, Computer Male Machine Learning
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China and the U.S. produce more impactful AI research when collaborating together.

Scientific reports Nov 19, 2024
Artificial Intelligence (AI) has become a disruptive technology, promising to grant a significant economic and strategic advantage to nations that harness its power. China, with its recent push towards AI adoption, is challenging the U.S.'s position ...
Humans Artificial Intelligence Research China United States International Cooperation Emigration and Immigration Cooperative Behavior
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Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases.

Scientific reports Nov 19, 2024
The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to improve the accuracy of tumor volume assessment for ...
Tumor Burden Male Middle Aged Support Vector Machine Radiomics Brain Neoplasms Machine Learning Tomography, X-Ray Computed Algorithms Humans Female Brain Neural Networks, Computer Aged
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization.

Scientific reports Nov 19, 2024
With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researc...
Bayes Theorem Hate Speech Natural Language Processing Humans Machine Learning Algorithms Language Deep Learning
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A machine learning prediction model for Cardiac Amyloidosis using routine blood tests in patients with left ventricular hypertrophy.

Scientific reports Nov 19, 2024
Current approaches for cardiac amyloidosis (CA) identification are time-consuming, labor-intensive, and present challenges in sensitivity and accuracy, leading to limited treatment efficacy and poor prognosis for patients. In this retrospective study...
Humans Retrospective Studies Female Aged Machine Learning Algorithms Biomarkers Amyloidosis Male Hypertrophy, Left Ventricular Middle Aged Hematologic Tests
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Experts fail to reliably detect AI-generated histological data.

Scientific reports Nov 19, 2024
AI-based methods to generate images have seen unprecedented advances in recent years challenging both image forensic and human perceptual capabilities. Accordingly, these methods are expected to play an increasingly important role in the fraudulent f...
Humans Artificial Intelligence Image Processing, Computer-Assisted Algorithms
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Foot fractures diagnosis using a deep convolutional neural network optimized by extreme learning machine and enhanced snow ablation optimizer.

Scientific reports Nov 18, 2024
The current investigation proposes a novel hybrid methodology for the diagnosis of the foot fractures. The method uses a combination of deep learning methods and a metaheuristic to provide an efficient model for the diagnosis of the foot fractures pr...
Fractures, Bone Humans Foot Bones Neural Networks, Computer Machine Learning Algorithms Deep Learning
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Enhancing decision-making with linear diophantine multi-fuzzy set: application of novel information measures in medical and engineering fields.

Scientific reports Nov 18, 2024
This study offers a comprehensive analysis of novel information for linear diophantine multi-fuzzy sets and illustrates its applications in practical scenarios. We introduce innovative similarity metrics tailored for linear diophantine multi-fuzzy se...
Humans Fuzzy Logic Decision Making Pre-Eclampsia Algorithms Pregnancy Female
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