AIMC Topic: Support Vector Machine

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Comparing the accuracy of four machine learning models in predicting type 2 diabetes onset within the Chinese population: a retrospective study.

The Journal of international medical research Jun 1, 2024
OBJECTIVE: To evaluate the effectiveness of machine learning (ML) models in predicting 5-year type 2 diabetes mellitus (T2DM) risk within the Chinese population by retrospectively analyzing annual health checkup records.
Risk Factors Aged Adult Male Humans Machine Learning Retrospective Studies Female Diabetes Mellitus, Type 2 Logistic Models Support Vector Machine East Asian People Middle Aged China Blood Glucose ROC Curve
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Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

Medicine May 17, 2024
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepatitis (NASH), we downloaded 2 publicly available gene expression profiles, GSE164760 and GSE37031, from the gene expression omnibus database. These prof...
Gene Expression Profiling Transcriptome Support Vector Machine Hep G2 Cells Humans Machine Learning Algorithms Non-alcoholic Fatty Liver Disease
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Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology May 1, 2024
BACKGROUND/AIMS:  Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors. The study investigated the efficacy of ...
Neurilemmoma Leiomyoma Support Vector Machine Diagnosis, Differential Endosonography Humans Gastrointestinal Stromal Tumors Female Male Aged Middle Aged Adult ROC Curve Stomach Neoplasms Sensitivity and Specificity
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Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead).

Age and ageing May 1, 2024
INTRODUCTION: Post-operative delirium (POD) is a common complication in older patients, with an incidence of 14-56%. To implement preventative procedures, it is necessary to identify patients at risk for POD. In the present study, we aimed to develop...
Support Vector Machine Age Factors Predictive Value of Tests Delirium Aged, 80 and over Male Risk Assessment Postoperative Complications Geriatric Assessment Humans Machine Learning Algorithms Female Risk Factors Aged
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Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.

The clinical respiratory journal May 1, 2024
BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. This study aimed to establish novel multiclassification prediction models based on machine learning (ML) to predict the probability of malignancy in pulmonary nodules (PN...
Middle Aged Tomography, X-Ray Computed Humans ROC Curve Multiple Pulmonary Nodules Machine Learning Female Solitary Pulmonary Nodule Retrospective Studies Aged Decision Trees Male Lung Neoplasms Predictive Value of Tests Support Vector Machine
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Dental Age Estimation in Northern Chinese Han Children and Adolescents Using Demirjian's Method Combined with Machine Learning Algorithms.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine learning algorithms for dental age estimation in northern Chinese Han children and adolescents.
Support Vector Machine East Asian People Decision Trees Radiography, Panoramic Humans Ethnicity Female Adolescent Machine Learning Age Determination by Teeth Young Adult Algorithms Child, Preschool Tooth Male China Child Mandible
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[Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].

Zhonghua wei zhong bing ji jiu yi xue Apr 1, 2024
OBJECTIVE: To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.
Shock, Septic Support Vector Machine Decision Trees Machine Learning Female Supervised Machine Learning Algorithms Male Prognosis Humans Middle Aged Intensive Care Units
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Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.

Cerebral cortex (New York, N.Y. : 1991) Apr 1, 2024
Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work propo...
Humans Biomarkers Brain Female Adult Male Middle Aged Logistic Models Support Vector Machine Magnetic Resonance Imaging Atrophy Spinocerebellar Ataxias
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Rapid discrimination of four Salmonella enterica serovars: A performance comparison between benchtop and handheld Raman spectrometers.

Journal of cellular and molecular medicine Apr 1, 2024
Foodborne illnesses, particularly those caused by Salmonella enterica with its extensive array of over 2600 serovars, present a significant public health challenge. Therefore, prompt and precise identification of S. enterica serovars is essential for...
Serogroup Humans Salmonella enterica Algorithms Spectrum Analysis, Raman Support Vector Machine
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[Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To screen for the key characteristic genes of the psoriasis vulgaris (PV) patients with different Traditional Chinese Medicine (TCM) syndromes, including blood-heat syndrome (BHS), blood stasis syndrome (BSS), and blood-dryness syndrome (B...
Psoriasis Gene Expression Profiling Humans Computational Biology Machine Learning Support Vector Machine Algorithms Medicine, Chinese Traditional
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