AIMC Topic: Support Vector Machine

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Prediction of mortality in sepsis patients using stacked ensemble machine learning algorithm.

Journal of postgraduate medicine Dec 6, 2024
INTRODUCTION: Machine learning (ML) has been tried in predicting outcomes following sepsis. This study aims to identify the utility of stacked ensemble algorithm in predicting mortality.
Cohort Studies Hospital Mortality Support Vector Machine Area Under Curve Male Middle Aged Sepsis Female Aged Adult Humans Machine Learning Algorithms Prognosis
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Development and validation of a machine-learning model to predict lymph node metastasis of intrahepatic cholangiocarcinoma: A retrospective cohort study.

Bioscience trends Dec 5, 2024
Lymph node metastasis in intrahepatic cholangiocarcinoma significantly impacts overall survival, emphasizing the need for a predictive model. This study involved patients who underwent curative liver resection between different time periods. Three ma...
Kaplan-Meier Estimate Cholangiocarcinoma Disease-Free Survival Hepatectomy Aged Bile Duct Neoplasms Male Prognosis Middle Aged Retrospective Studies Lymphatic Metastasis Lymph Nodes Female Humans Lymph Node Excision Support Vector Machine Machine Learning
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A multi-view prognostic model for diffuse large B-cell lymphoma based on kernel canonical correlation analysis and support vector machine.

BMC cancer Dec 5, 2024
BACKGROUND AND OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) is recommended as the standard imaging modality for diffuse large B-cell lymphoma (DLBCL) staging. However, many studies have neglected the role of patients' prognost...
ROC Curve Support Vector Machine Positron Emission Tomography Computed Tomography Lymphoma, Large B-Cell, Diffuse Male Middle Aged Humans Aged Adult Prognosis Female
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Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India.

Environmental monitoring and assessment Dec 5, 2024
Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and enhancing resource allocation. This study observes the Cauvery Delta Zone (CDZ), recognized as the rice bowl of Tamil Nadu and a crucial area for paddy farming i...
Environmental Monitoring Support Vector Machine Oryza Crops, Agricultural Machine Learning India Agriculture Radar
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A rapid method for assessing seed drought resistance using integrated ID-BOA-SVM.

Analytical methods : advancing methods and applications Dec 5, 2024
This study investigates the application of near-infrared spectroscopy (NIR) for assessing drought resistance in seeds, aiming to offer a rapid and efficient method suitable for large-scale primary screening. NIR spectroscopy is utilized to analyze fo...
Spectroscopy, Near-Infrared Water Bayes Theorem Droughts Zea mays Support Vector Machine Drought Resistance Seeds
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An automated approach to identify sarcasm in low-resource language.

PloS one Dec 5, 2024
Sarcasm detection has emerged due to its applicability in natural language processing (NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto, and Roman-Urdu. While fewer studies identifying sarcasm have focused on...
Decision Trees Language Humans Natural Language Processing Machine Learning Support Vector Machine Algorithms Emotions
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Exploiting the features of deep residual network with SVM classifier for human posture recognition.

PloS one Dec 5, 2024
Over the last decade, there have been a lot of advances in the area of human posture recognition. Among multiple approaches proposed to solve this problem, those based on deep learning have shown promising results. Taking another step in this directi...
Support Vector Machine Humans Deep Learning Neural Networks, Computer Posture Accidental Falls Algorithms
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Classification of glucose-level in deionized water using machine learning models and data pre-processing technique.

PloS one Dec 5, 2024
Accurate monitoring of glucose levels is essential in the field of diabetes detection and prevention to ensure appropriate treatment planning. Conventional blood glucose monitoring methods, although widely used, are intrusive and frequently result in...
Machine Learning Blood Glucose Water Humans Spectrum Analysis, Raman Support Vector Machine Glucose
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Metabolomics-Based Machine Learning Models Accurately Predict Breast Cancer Estrogen Receptor Status.

International journal of molecular sciences Dec 4, 2024
Breast cancer is a global concern as a leading cause of death for women. Early and precise diagnosis can be vital in handling the disease efficiently. Breast cancer subtyping based on estrogen receptor (ER) status is crucial for determining prognosis...
Metabolomics Receptors, Estrogen Biomarkers, Tumor Middle Aged Support Vector Machine Aged Adult Breast Neoplasms Algorithms Female Humans Machine Learning
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Use of machine learning for simplification of University Personality Inventory (UPI).

Acta psychologica Dec 4, 2024
BACKGROUND: Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This stud...
Machine Learning Female Humans Universities Support Vector Machine Personality Inventory Male Young Adult Students Adult Adolescent Mental Health
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