AIMC Topic: Algorithms

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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm.

Scientific reports Jul 1, 2025
In the human body, the skin is the main organ. Nearly 30-70% of individuals globally have skin-related health issues, for whom efficient and effective analysis is essential. A general method dermatologists use for analyzing skin illnesses is dermosco...
Diagnosis, Computer-Assisted Computer Security Humans Machine Learning Algorithms Skin Neoplasms Dermoscopy
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Prediction of cardiovascular diseases based on GBDT+LR.

Scientific reports Jul 1, 2025
Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe. Accurately and efficiently predicting the potentia...
Support Vector Machine China Humans Decision Trees Logistic Models Algorithms Cardiovascular Diseases Risk Assessment
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.

Scientific reports Jul 1, 2025
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ...
Humans Adult Epilepsies, Partial Neural Networks, Computer Male Algorithms Magnetoencephalography Deep Learning Female
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Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom...
Deep Learning Image Processing, Computer-Assisted Parkinson Disease Early Diagnosis Handwriting Humans Neural Networks, Computer Algorithms
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FSID: a novel approach to human activity recognition using few-shot weight imprinting.

Scientific reports Jul 1, 2025
Accurate recognition of human activities from gait sensory data plays a vital role in healthcare and wellness monitoring. However, conventional deep learning models for Human Activity Recognition (HAR) often require large labeled datasets and extensi...
Humans Human Activities Algorithms Deep Learning Gait
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Palpation Percussion Machine Learning Algorithms Signal Processing, Computer-Assisted Support Vector Machine Humans Fourier Analysis Ensemble Learning Neural Networks, Computer
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Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications.

Scientific reports Jul 1, 2025
Remote Patient Monitoring Systems (RPMS) are vital for tracking patients' health outside clinical settings, such as at home or in long-term care facilities. Wearable sensors play a crucial role in these systems by continuously collecting and transmit...
Models, Theoretical Fuzzy Logic Monitoring, Physiologic Remote Sensing Technology Telemedicine Remote Patient Monitoring Humans Algorithms Wearable Electronic Devices
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Acute Kidney Injury Electronic Health Records Female Humans Algorithms Child, Preschool Child Cardiopulmonary Bypass Male Postoperative Complications Infant
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A supervised machine learning approach with feature selection for sex-specific biomarker prediction.

NPJ systems biology and applications Jul 1, 2025
Biomarkers are crucial in aiding in disease diagnosis, prognosis, and treatment selection. Machine learning (ML) has emerged as an effective tool for identifying novel biomarkers and enhancing predictive modelling. However, sex-based bias in ML algor...
Supervised Machine Learning Male Sex Factors Middle Aged Algorithms Blood Glucose Waist Circumference Biomarkers Body Mass Index Female Humans Blood Pressure Uric Acid Machine Learning
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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion.

Scientific reports Jul 1, 2025
The most common types of kidneys and liver cancer are renal cell carcinoma (RCC) and hepatic cell carcinoma (HCC), respectively. Accurate grading of these carcinomas is essential for determining the most appropriate treatment strategies, including su...
Humans Neural Networks, Computer Algorithms Neoplasm Grading Kidney Neoplasms Carcinoma, Renal Cell Deep Learning Liver Neoplasms Carcinoma, Hepatocellular
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