AIMC Topic: Support Vector Machine

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Prediction model of in-hospital cardiac arrest using machine learning in the early phase of hospitalization.

The Kaohsiung journal of medical sciences Sep 25, 2024
In hospitals, the deterioration of a patient's condition leading to death is often preceded by physiological abnormalities in the hours to days beforehand. Several risk-scoring systems have been developed to identify patients at risk of major adverse...
Male Middle Aged Support Vector Machine Taiwan Heart Arrest Risk Factors Hospitalization Aged Retrospective Studies Female Humans Machine Learning Algorithms
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Research on variety identification of common bean seeds based on hyperspectral and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 24, 2024
Accurate, fast and non-destructive identification of varieties of common bean seeds is important for the cultivation and efficient utilization of common beans. This study is based on hyperspectral and deep learning to identify the varieties of common...
Phaseolus Support Vector Machine Seeds Hyperspectral Imaging Algorithms Deep Learning Neural Networks, Computer
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Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions.

Journal of environmental management Sep 24, 2024
The accurate detection and monitoring of supraglacial lakes in high mountainous regions are crucial for understanding their dynamic nature and implications for environmental management and sustainable development goals. In this study, we propose a no...
Neural Networks, Computer Machine Learning Lakes Environmental Monitoring Support Vector Machine Pakistan Sustainable Development Ice Cover
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Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning.

Computers in biology and medicine Sep 24, 2024
Bladder cancer (BC) diagnosis presents a critical challenge in biomedical research, necessitating accurate tumor classification from diverse datasets for effective treatment planning. This paper introduces a novel wrapper feature selection (FS) metho...
Diagnosis, Computer-Assisted Humans Support Vector Machine Machine Learning Urinary Bladder Neoplasms Algorithms
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Multiple remotely sensed datasets and machine learning models to predict chlorophyll-a concentration in the Nakdong River, South Korea.

Environmental science and pollution research international Sep 24, 2024
The Nakdong River is a crucial water resource in South Korea, supplying water for various purposes such as potable water, irrigation, and recreation. However, the river is vulnerable to algal blooms due to the inflow of pollutants from multiple point...
Remote Sensing Technology Rivers Chlorophyll Republic of Korea Environmental Monitoring Support Vector Machine Chlorophyll A Machine Learning
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Integrating IoT for Soil Monitoring and Hybrid Machine Learning in Predicting Tomato Crop Disease in a Typical South India Station.

Sensors (Basel, Switzerland) Sep 24, 2024
This study develops a hybrid machine learning (ML) algorithm integrated with IoT technology to improve the accuracy and efficiency of soil monitoring and tomato crop disease prediction in Anakapalle, a south Indian station. An IoT device collected on...
Plant Diseases Solanum lycopersicum Machine Learning Internet of Things Crops, Agricultural Algorithms Soil India Support Vector Machine
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PROTA: A Robust Tool for Protamine Prediction Using a Hybrid Approach of Machine Learning and Deep Learning.

International journal of molecular sciences Sep 24, 2024
Protamines play a critical role in DNA compaction and stabilization in sperm cells, significantly influencing male fertility and various biotechnological applications. Traditionally, identifying these proteins is a challenging and time-consuming proc...
Humans Support Vector Machine Machine Learning Protamines Software Deep Learning Computational Biology
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Acute cholecystitis diagnosis in the emergency department: an artificial intelligence-based approach.

Langenbeck's archives of surgery Sep 24, 2024
OBJECTIVES: This study aimed to assess the diagnostic performance of a support vector machine (SVM) algorithm for acute cholecystitis and evaluate its effectiveness in accurately diagnosing this condition.
Algorithms Retrospective Studies Female Humans Artificial Intelligence Support Vector Machine Sensitivity and Specificity Predictive Value of Tests Aged Male Emergency Service, Hospital Cholecystitis, Acute Middle Aged Aged, 80 and over Adult
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Analysis of influencing factors of traffic accidents on urban ring road based on the SVM model optimized by Bayesian method.

PloS one Sep 24, 2024
Based on small scale sample of accident data from specific scenarios, fully exploring the potential influencing factors of the severity of traffic accidents has become a key and effective research method. In order to analyze the factors mentioned abo...
Accidents, Traffic Cities Support Vector Machine Humans Bayes Theorem China
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Influence of panic disorder and paroxetine on brain functional hubs in drug-free patients.

Journal of psychopharmacology (Oxford, England) Sep 23, 2024
BACKGROUND: The effects of panic disorder (PD) and pharmacotherapy on brain functional hubs in drug-free patients, and the utility of their degree centrality (DC) in diagnosing and predicting treatment response (TR) for PD, remained unclear.
Male Middle Aged Case-Control Studies Female Young Adult Adult Paroxetine Selective Serotonin Reuptake Inhibitors Panic Disorder Treatment Outcome Support Vector Machine Magnetic Resonance Imaging Humans Brain
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