AIMC Topic: Support Vector Machine

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Preoperative prediction of rectal Cancer staging combining MRI deep transfer learning, radiomics features, and clinical factors: accurate differentiation from stage T2 to T3.

BMC gastroenterology Aug 5, 2024
BACKGROUND: This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures, and clinical variables to accurately preoperatively differentiate between stage T2 and T3 rectal cancer.
Decision Trees Humans Male Neoplasm Staging Retrospective Studies Rectal Neoplasms Middle Aged Female Preoperative Period Deep Learning Aged Adult Radiomics Logistic Models Support Vector Machine Magnetic Resonance Imaging
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Improved medical waste plasma gasification modelling based on implicit knowledge-guided interpretable machine learning.

Waste management (New York, N.Y.) Aug 3, 2024
Ensuring the interpretability of machine learning models in chemical engineering remains challenging due to inherent limitations and data quality issues, hindering their reliable application. In this study, a qualitatively implicit knowledge-guided m...
Monte Carlo Method Models, Theoretical Support Vector Machine Gases Neural Networks, Computer Machine Learning Algorithms
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Machine Learning Assisted MALDI Mass Spectrometry for Rapid Antimicrobial Resistance Prediction in Clinicals.

Analytical chemistry Aug 3, 2024
Antimicrobial susceptibility testing (AST) plays a critical role in assessing the resistance of individual microbial isolates and determining appropriate antimicrobial therapeutics in a timely manner. However, conventional AST normally takes up to 72...
Vancomycin-Resistant Enterococci Support Vector Machine Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Enterococcus faecium Humans Drug Resistance, Bacterial Microbial Sensitivity Tests Machine Learning Anti-Bacterial Agents
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Machine learning characterization of a rare neurologic disease via electronic health records: a proof-of-principle study on stiff person syndrome.

BMC neurology Aug 3, 2024
BACKGROUND: Despite the frequent diagnostic delays of rare neurologic diseases (RND), it remains difficult to study RNDs and their comorbidities due to their rarity and hence the statistical underpowering. Affecting one to two in a million annually, ...
Humans Machine Learning Aged Adult Electronic Health Records Female Rare Diseases Stiff-Person Syndrome Autoantibodies Male Glutamate Decarboxylase Middle Aged Proof of Concept Study Support Vector Machine
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Predicting the Hallucinogenic Potential of Molecules Using Artificial Intelligence.

ACS chemical neuroscience Aug 2, 2024
The development of new drugs addressing serious mental health and other disorders should avoid the psychedelic experience. Analogs of psychedelic drugs can have clinical utility and are termed "psychoplastogens". These represent promising candidates ...
Machine Learning Animals Mice Humans Artificial Intelligence Support Vector Machine Hallucinogens Lysergic Acid Diethylamide
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Identifying diseases symptoms and general rules using supervised and unsupervised machine learning.

Scientific reports Aug 2, 2024
The symptoms of diseases can vary among individuals and may remain undetected in the early stages. Detecting these symptoms is crucial in the initial stage to effectively manage and treat cases of varying severity. Machine learning has made major adv...
Disease Female Adult Male Unsupervised Machine Learning Supervised Machine Learning Humans Middle Aged Algorithms Support Vector Machine
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Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran.

Environmental science and pollution research international Aug 2, 2024
Floods are among the natural hazards that have seen a rapid increase in frequency in recent decades. The damage caused by floods, including human and financial losses, poses a serious threat to human life. This study evaluates two machine learning (M...
Iran Floods Geographic Information Systems Support Vector Machine Humans Machine Learning
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From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.

GeroScience Aug 1, 2024
Stroke is a severe medical condition which may lead to permanent disability conditions. The initial 8 weeks following a stroke are crucial for rehabilitation, as most recovery occurs during this period. Personalized approaches and predictive biomarke...
Humans Artificial Intelligence Prognosis Female Electroencephalography Stroke Stroke Rehabilitation Case-Control Studies Support Vector Machine Recovery of Function Aged Male Middle Aged
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A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data.

Scientific reports Aug 1, 2024
Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalities, including abdominal obesity, hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, and impaired glucose tolerance. It...
Neural Networks, Computer Female Adult Humans Polymorphism, Single Nucleotide Logistic Models Support Vector Machine Metabolic Syndrome Male Middle Aged Deep Learning
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Soil organic carbon estimation using remote sensing data-driven machine learning.

PeerJ Aug 1, 2024
Soil organic carbon (SOC) is a crucial component of the global carbon cycle, playing a significant role in ecosystem health and carbon balance. In this study, we focused on assessing the surface SOC content in Shandong Province based on land use type...
Carbon Remote Sensing Technology Forests China Machine Learning Environmental Monitoring Soil Support Vector Machine Ecosystem
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