AIMC Topic: Support Vector Machine
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Comprehensive Analysis of Immune Infiltration and Key Genes in Peri-Implantitis Using Bioinformatics and Molecular Biology Approaches.
Medical science monitor : international medical journal of experimental and clinical research
Nov 6, 2024
BACKGROUND Peri-implantitis is the main cause of failure of implant treatment, and there is little research on its molecular mechanism. This study aimed to identify key biomarkers and immune infiltration of peri-implantitis using a bioinformatics met...
Classification of EEG evoked in 2D and 3D virtual reality: traditional machine learning versus deep learning.
Biomedical physics & engineering express
Nov 5, 2024
. Virtual reality (VR) simulates real-life events and scenarios and is widely utilized in education, entertainment, and medicine. VR can be presented in two dimensions (2D) or three dimensions (3D), with 3D VR offering a more realistic and immersive ...
Sex estimation from patellar measurements in a contemporary Italian population: a machine learning approach.
International journal of legal medicine
Nov 4, 2024
Biological sex estimation in forensic anthropology is a crucial topic, and the patella has shown promise in this regard due to its sexual dimorphism. This study uses 12 machine learning models for sex estimation based on three patellar measurements (...
Detection of mussels contaminated with cadmium by near-infrared reflectance spectroscopy based on RELS-TSVM.
Journal of food science
Nov 4, 2024
Eating mussels contaminated with cadmium (Cd) can seriously harm health. In this study, a non-destructive and rapid detection method for Cd-contaminated mussels based on near-infrared reflectance spectroscopy was studied. The spectral data of Cd-cont...
Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time.
The Analyst
Nov 4, 2024
With greater population density, the likelihood of viral outbreaks achieving pandemic status is increasing. However, current viral screening techniques use specific reagents, and as viruses mutate, test accuracy decreases. Here, we present the first ...
Application of tongue image characteristics and oral-gut microbiota in predicting pre-diabetes and type 2 diabetes with machine learning.
Frontiers in cellular and infection microbiology
Nov 4, 2024
BACKGROUND: This study aimed to characterize the oral and gut microbiota in prediabetes mellitus (Pre-DM) and type 2 diabetes mellitus (T2DM) patients while exploring the association between tongue manifestations and the oral-gut microbiota axis in d...
Common laboratory results-based artificial intelligence analysis achieves accurate classification of plasma cell dyscrasias.
PeerJ
Nov 4, 2024
BACKGROUND: Plasma cell dyscrasias encompass a diverse set of disorders, where early and precise diagnosis is essential for optimizing patient outcomes. Despite advancements, current diagnostic methodologies remain underutilized in applying artificia...
Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.
Sensors (Basel, Switzerland)
Nov 2, 2024
is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of biomass is important for plantation forest management and the prediction ...
An enhanced machine learning algorithm for type 2 diabetes prognosis with a detailed examination of Key correlates.
Scientific reports
Nov 1, 2024
This study aimed to construct a high-performance prediction and diagnosis model for type 2 diabetic retinopathy (DR) and identify key correlates of DR. This study utilized a cross-sectional dataset of 3,000 patients from the People's Liberation Army ...
Exploring blood-brain barrier passage using atomic weighted vector and machine learning.
Journal of molecular modeling
Nov 1, 2024
CONTEXT: This study investigates the potential of leveraging molecular properties, as determined by MD-LOVIs software and machine learning techniques, to predict the ability of compounds to cross the blood-brain barrier (BBB). Accurate prediction of ...
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