AIMC Topic: Support Vector Machine

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Sex estimation based on mandibular measurements.

Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur Jan 25, 2024
Medical imaging and machine learning are beneficial approaches in physical and forensic anthropology. They are particularly useful for the development of models for sex identification based on bone remains. The present study uses machine learning alg...
Humans Support Vector Machine Bayes Theorem Adult Sex Determination by Skeleton Male Neural Networks, Computer Mandible Algorithms Eastern European People Female
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Utilization of Machine Learning Approaches to Predict Mortality in Pediatric Warzone Casualties.

Military medicine Jan 23, 2024
BACKGROUND: Identification of pediatric trauma patients at the highest risk for death may promote optimization of care. This becomes increasingly important in austere settings with constrained medical capabilities. This study aimed to develop and val...
Child Logistic Models Support Vector Machine Algorithms Female Male Neural Networks, Computer Machine Learning Humans
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Simultaneous Determination of Estradiol Cypionate and Medroxyprogesterone Acetate Hormones in Injectable Suspension by UV Spectrophotometry Based on Least-Squares Support Vector Machine and Fuzzy Inference System: Comparison with HPLC.

Journal of AOAC International Jan 4, 2024
BACKGROUND: The combination of estradiol cypionate (ECA) and medroxyprogesterone acetate (MPA) is used to prevent pregnancy in women. The analysis of the ECA and MPA combination reveals a challenge due to the strong overlap of the spectra of these co...
Humans Pregnancy Female Chromatography, High Pressure Liquid Spectrophotometry Medroxyprogesterone Acetate Estradiol Support Vector Machine Least-Squares Analysis
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Preemptive Forecasting of Symptom Escalation in Cancer Patients Undergoing Chemotherapy.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
This study evaluates the utility of machine learning (ML) algorithms in early forecasting of total symptom score changes from daily self-reports of 339 chemotherapy patients. The dataset comprised 12 specific symptoms, with severity and distress for ...
Humans Neoplasms Antineoplastic Agents Severity of Illness Index Support Vector Machine Machine Learning Algorithms Forecasting
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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics.

Technology in cancer research & treatment Jan 1, 2024
This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. We retrospectively analyzed CT images from 117 cervic...
Aged Support Vector Machine Adult Retrospective Studies Humans Radiomics Uterine Cervical Neoplasms Tomography, X-Ray Computed Machine Learning Female Middle Aged Algorithms ROC Curve Image Processing, Computer-Assisted
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine.

Technology in cancer research & treatment Jan 1, 2024
OBJECTIVE: This study presents a comparative analysis of RF and SVM for predicting calcein release from ultrasound-triggered, targeted liposomes under varied low-frequency ultrasound (LFUS) power densities (6.2, 9, and 10 mW/cm).
Support Vector Machine Random Forest Drug Liberation Humans Drug Delivery Systems Liposomes Ultrasonic Waves Fluoresceins
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Pneumonia detection on chest X-rays from Xception-based transfer learning and logistic regression.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
Pneumonia is a dangerous disease that kills millions of children and elderly patients worldwide every year. The detection of pneumonia from a chest x-ray is perpetrated by expert radiologists. The chest x-ray is cheaper and is most often used to diag...
Radiography, Thoracic Humans Logistic Models Machine Learning COVID-19 Support Vector Machine SARS-CoV-2 Pneumonia
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Data-driven Machine Learning Models for Risk Stratification and Prediction of Emergence Delirium in Pediatric Patients Underwent Tonsillectomy/Adenotonsillectomy.

Annali italiani di chirurgia Jan 1, 2024
AIM: In the pediatric surgical population, Emergence Delirium (ED) poses a significant challenge. This study aims to develop and validate machine learning (ML) models to identify key features associated with ED and predict its occurrence in children ...
Female Male Risk Assessment Child ROC Curve Adolescent Child, Preschool Humans Machine Learning Emergence Delirium Adenoidectomy Logistic Models Support Vector Machine Tonsillectomy
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.
Bone Marrow Bone Marrow Neoplasms Neuroblastoma ROC Curve Support Vector Machine Contrast Media Adolescent Algorithms Child, Preschool Male Retrospective Studies Child Humans Infant Tomography, X-Ray Computed Machine Learning Female Radiomics
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Modelling a self-defined CNN for effectual classification of PCOS from ultrasound images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders in women in their childbearing years. The hormonal imbalance leads to a delayed or even absent menstrual cycle. Women with PCOS mainly suffer from extr...
Ultrasonography Support Vector Machine Polycystic Ovary Syndrome Machine Learning Female Humans Neural Networks, Computer
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