AIMC Topic: Support Vector Machine

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Classifying social and physical pain from multimodal physiological signals using machine learning.

Scientific reports Jul 29, 2025
Accurate pain assessment is essential for effective management; however, most studies have focused on differentiating pain from non-pain or estimating pain intensity rather than distinguishing between distinct pain types. We present a machine learnin...
Machine Learning Female Young Adult Adult Humans Pain Measurement Pain Male Electrocardiography Support Vector Machine
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An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Scientific reports Jul 29, 2025
Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying mortality among hemodialysis patients is paramount importance, as it enables the formulation of tailored interventions and facilitates timely managem...
Neural Networks, Computer Humans Artificial Intelligence Machine Learning Aged Logistic Models Male Support Vector Machine Kidney Failure, Chronic Retrospective Studies Middle Aged Renal Dialysis Female ROC Curve
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IoT enabled health monitoring system using rider optimization algorithm and joint process estimation.

Scientific reports Jul 29, 2025
The timely detection of abnormal health conditions is crucial in achieving successful medical intervention and enhancing patient outcomes. Despite advances in health monitoring, existing methods often struggle with achieving high accuracy, sensitivit...
Humans Support Vector Machine Neural Networks, Computer Monitoring, Physiologic Heart Rate Machine Learning Internet of Things Algorithms
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Classification of skin diseases with deep learning based approaches.

Scientific reports Jul 28, 2025
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c...
Male Deep Learning Support Vector Machine Skin Diseases Algorithms Female Skin Neoplasms Eczema Dermatitis, Seborrheic Humans
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Development and validation of MRI-based radiomics model for clinical symptom stratification of extrinsic adenomyosis.

Annals of medicine Jul 25, 2025
BACKGROUND: Extrinsic adenomyosis exhibits heterogeneous clinical symptoms, with pain being more commonly reported. The relationship between magnetic resonance imaging (MRI) feature and symptom remains unclear.
Uterine Hemorrhage Adenomyosis Support Vector Machine Magnetic Resonance Imaging Pain Humans Retrospective Studies Female Middle Aged Nomograms Adult Radiomics
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models.

Scientific reports Jul 24, 2025
Potato as a staple food, plays a crucial role in ensuring a sustainable food supply and mitigating poverty and malnutrition in various regions across the globe. India, specifically holding the second position in global potato production, plays a sign...
Machine Learning Forecasting India Solanum tuberosum Support Vector Machine Food Supply Neural Networks, Computer
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Fast identification of influenza using label-free SERS combined with machine learning algorithms clinical nasal swab samples.

Analytical methods : advancing methods and applications Jul 24, 2025
Influenza virus outbreaks, which have become more frequent in recent years, have attracted global attention. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA), as the "gold standard" methods for vi...
Discriminant Analysis Spectrum Analysis, Raman Humans Influenza, Human Support Vector Machine Machine Learning Principal Component Analysis Algorithms
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Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.

Scientific reports Jul 21, 2025
Mild to severe anemia is caused by thalassemia, a common genetic disorder affecting over 100 countries worldwide, that results from the abnormality of one or several of the four globin genes. This leads to chronic hemolytic anemia and disrupted synth...
Thalassemia alpha-Thalassemia Blood Cell Count Support Vector Machine Chromatography, High Pressure Liquid Humans Pakistan Machine Learning beta-Thalassemia
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An illustration of multi-class roc analysis for predicting internet addiction among university students.

PloS one Jul 21, 2025
The internet is one of the essential tools today, and its impact is particularly felt among university students. Internet addiction (IA) has become a serious public health issue worldwide. This multi-class classification study aimed to identify the p...
Female Young Adult Adult Students Prevalence Cross-Sectional Studies Universities Surveys and Questionnaires Bangladesh Male Humans Support Vector Machine Adolescent Internet Addiction Disorder ROC Curve Machine Learning COVID-19
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Enhancing cardiac disease detection via a fusion of machine learning and medical imaging.

Scientific reports Jul 19, 2025
Cardiovascular illnesses continue to be a predominant cause of mortality globally, underscoring the necessity for prompt and precise diagnosis to mitigate consequences and healthcare expenditures. This work presents a complete hybrid methodology that...
Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Diagnostic Imaging Cardiovascular Diseases Echocardiography Humans Middle Aged Female Male Neural Networks, Computer Machine Learning Heart Diseases
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