AIMC Topic: Support Vector Machine

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Dual-energy CT combined with histogram parameters in the assessment of perineural invasion in colorectal cancer.

International journal of colorectal disease May 27, 2025
PURPOSE: The purpose is to evaluate the predictive value of dual-energy CT (DECT) combined with histogram parameters and a clinical prediction model for perineural invasion (PNI) in colorectal cancer (CRC).
Humans Retrospective Studies ROC Curve Logistic Models Support Vector Machine Neoplasm Invasiveness Multivariate Analysis Peripheral Nerves Adult Colorectal Neoplasms Male Middle Aged Tomography, X-Ray Computed Female Aged
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Easy and Fast Discrimination of Female Sand Flies from Species with Infrared Spectroscopy and Multivariate Analysis.

Analytical chemistry May 26, 2025
Accurate identification of sandfly species is critical for controlling and preventing the spread of visceral leishmaniasis, a major public health concern in Latin America. Morphological similarities between female and present a significant challeng...
Machine Learning Female Multivariate Analysis Psychodidae Animals Support Vector Machine Spectroscopy, Fourier Transform Infrared Principal Component Analysis
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IoT-enabled real-time health monitoring system for adolescent physical rehabilitation.

Scientific reports May 23, 2025
This study aims to develop an intelligent system leveraging Internet of Thing (IoT) technology to enhance the precision of youth physical training monitoring and improve training outcomes. A wearable device incorporating Micro Electro Mechanical Syst...
Monitoring, Physiologic Internet of Things Adolescent Wearable Electronic Devices Support Vector Machine Humans Algorithms Female Male
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Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Scientific reports May 23, 2025
Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the aging of the social population, the number of cases of hypoxemia among middle-aged and elderly patients is increasing. However, tools for predicting hypox...
Outpatients Gastroscopy Logistic Models Support Vector Machine Hypoxia Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Middle Aged ROC Curve Humans Machine Learning
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The value of radiomics features of white matter hyperintensities in diagnosing cognitive frailty: a study based on T2-FLAIR imaging.

BMC medical imaging May 22, 2025
BACKGROUND: White matter hyperintensities (WMHs) are closely associated with cognitive frailty (CF). This study aims to explore the potential diagnostic value of WMHs for CF based on radiomics approaches, thereby providing a novel methodology for the...
Humans Machine Learning Radiomics Support Vector Machine Retrospective Studies Magnetic Resonance Imaging Male Female Frailty Middle Aged Aged White Matter Cognitive Dysfunction Aged, 80 and over
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Preliminary Development of a Database for Detecting Active Mounting Behaviors Using Signals Acquired from IoT Collars in Free-Grazing Cattle.

Sensors (Basel, Switzerland) May 21, 2025
This study presents the development of a database for detecting active mounts, utilizing IoT collars equipped with Inertial Measurement Units (IMUs) installed on eight Holstein Friesian cows, along with video recordings from a long-range PTZ camera m...
Animals Cattle Support Vector Machine Video Recording Behavior, Animal Accelerometry Algorithms Databases, Factual
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Non-invasive prediction of DCE-MRI radiomics model on CCR5 in breast cancer based on a machine learning algorithm.

Cancer biomarkers : section A of Disease markers May 21, 2025
BackgroundNon-invasive methods with universal prognostic guidance for detecting breast cancer (BC) survival biomarkers need to be further explored.ObjectiveThis study aimed to investigate C-C motif chemokine receptor type 5 (CCR5) prognosis value in ...
Humans Adult Algorithms Machine Learning Breast Neoplasms Prognosis Radiomics Female Biomarkers, Tumor Aged Receptors, CCR5 Middle Aged Dynamic Contrast Enhanced Magnetic Resonance Imaging Support Vector Machine Contrast Media
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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

Scientific reports May 7, 2025
This study aims to deepen the understanding and classification of tinnitus through a comprehensive analysis of EEG signals utilizing innovative microstate analysis techniques and cutting-edge machine learning approaches. EEG data were collected from ...
Electroencephalography Tinnitus Male Humans Middle Aged Female Deep Learning Adult Support Vector Machine
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Machine Learning Models Can Predict Tinnitus and Noise-Induced Hearing Loss.

Ear and hearing May 6, 2025
OBJECTIVES: Despite the extensive use of machine learning (ML) models in health sciences for outcome prediction and condition classification, their application in differentiating various types of auditory disorders remains limited. This study aimed t...
Adult Cross-Sectional Studies Male Middle Aged Machine Learning Female Aged Aged, 80 and over Humans Tinnitus Neural Networks, Computer Hearing Loss, Noise-Induced Prevalence Noise, Occupational Canada Presbycusis Logistic Models Support Vector Machine
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Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

BMC cancer May 6, 2025
Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced computational approaches for precise disease classification. This study introduces a Deep Reinforcement Learning (DRL)-based framework for predicting nc...
RNA, Untranslated Metaplasia Humans Computational Biology Prognosis Female Support Vector Machine Breast Neoplasms RNA, Long Noncoding Biomarkers, Tumor Deep Learning
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