AIMC Topic: Logistic Models

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A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.

Computational and mathematical methods in medicine Jul 27, 2021
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predict the vascu...
Algorithms Humans Heart Disease Risk Factors Male Neural Networks, Computer Aorta, Abdominal Female Logistic Models Middle Aged Vascular Calcification Aged Support Vector Machine Renal Dialysis Adult Fuzzy Logic Machine Learning Computational Biology Kidney Failure, Chronic
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Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy.

BMC medical imaging Jul 23, 2021
BACKGROUND: The aim of this study was to investigate the potential use of renal ultrasonography radiomics features in the histologic classification of glomerulopathy.
Ultrasonography ROC Curve Diagnosis, Differential Female Kidney Glomerulonephritis, IGA Adult Logistic Models Glomerulonephritis, Membranous Male Humans Glomerulonephritis Middle Aged Machine Learning Algorithms
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Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

Scientific reports Jul 21, 2021
Increasing recognition of anatomical obstruction has resulted in a large variety of sleep surgeries to improve anatomic collapse of obstructive sleep apnea (OSA) and the prediction of whether sleep surgery will have successful outcome is very importa...
Sleep Apnea, Obstructive Preoperative Period Otorhinolaryngologic Surgical Procedures Oropharynx Middle Aged Logistic Models Treatment Outcome Humans Machine Learning Female Adult Male
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Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data.

International journal of environmental research and public health Jul 18, 2021
Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct prediction models with machine learning algorithms to serve as screening tools for osteoporosis in adults over fifty years old. Additionally, we also compared ...
Middle Aged Logistic Models Taiwan Osteoporosis Female Adult Male Humans Neural Networks, Computer Machine Learning
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Identifying mislabelled samples: Machine learning models exceed human performance.

Annals of clinical biochemistry Jul 16, 2021
BACKGROUND: It is difficult for clinical laboratories to identify samples that are labelled with the details of an incorrect patient. Many laboratories screen for these errors with delta checks, with final decision-making based on manual review of re...
Machine Learning Algorithms Computer Simulation Logistic Models Humans Neural Networks, Computer Support Vector Machine Laboratories, Clinical
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Predicting self-intercepted medication ordering errors using machine learning.

PloS one Jul 14, 2021
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to mis...
Humans Medication Errors Machine Learning Middle Aged Medical Order Entry Systems Female Child Aged, 80 and over Infant Aged ROC Curve Adolescent Young Adult Logistic Models Child, Preschool Adult Male
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CRP (C-Reactive Protein) in Outcome Prediction After Subarachnoid Hemorrhage and the Role of Machine Learning.

Stroke Jul 9, 2021
BACKGROUND AND PURPOSE: Outcome prediction after aneurysmal subarachnoid hemorrhage (aSAH) is challenging. CRP (C-reactive protein) has been reported to be associated with outcome, but it is unclear if this is independent of other predictors and appl...
Humans Machine Learning Subarachnoid Hemorrhage Middle Aged ROC Curve Logistic Models Aged Support Vector Machine Treatment Outcome Prognosis Young Adult Models, Statistical Female Predictive Value of Tests Adult Reproducibility of Results C-Reactive Protein Male
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Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach.

Accident; analysis and prevention Jul 9, 2021
The primary objective of this study was to evaluate the impacts of traffic states on crash risk in the vicinities of Type A weaving segments. A deep convolutional embedded clustering (DCEC) was developed to classify traffic flow into nine states. The...
Cluster Analysis Accidents, Traffic Humans Neural Networks, Computer Deep Learning Logistic Models
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Using machine learning to predict severe hypoglycaemia in hospital.

Diabetes, obesity & metabolism Jul 8, 2021
AIM: To predict the risk of hypoglycaemia using machine-learning techniques in hospitalized patients.
Retrospective Studies Hospitals Humans Logistic Models Machine Learning Hypoglycemia
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Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea National Health and Nutrition Examination Survey.

Biosensors Jul 8, 2021
Smartwatches have the potential to support health care in everyday life by supporting self-monitoring of health conditions and personal activities. This paper aims to develop a model that predicts the prevalence of cardiovascular disease using health...
Machine Learning Algorithms Republic of Korea Cardiovascular Diseases Wearable Electronic Devices Logistic Models Nutrition Surveys Support Vector Machine Humans Neural Networks, Computer
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