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View article: Diagnostic accuracy of deep learning in prediction of osteoporosis: a systematic review and meta-analysis
Diagnostic accuracy of deep learning in prediction of osteoporosis: a systematic review and meta-analysis Open
Deep learning has an acceptable performance for the diagnosis of osteoporosis, even better than other ML algorithms. However, further research is needed to validate the findings of this study in clinical trials.
View article: QICAR 2024 Authors Index
QICAR 2024 Authors Index Open
View article: QICAR 2024 TOC
QICAR 2024 TOC Open
View article: Using Stacking methods based Genetic Algorithm to predict the time between symptom onset and hospital arrival in stroke patients and its related factors
Using Stacking methods based Genetic Algorithm to predict the time between symptom onset and hospital arrival in stroke patients and its related factors Open
Introduction: The early arrival of patients with acute ischemic stroke to start of treatment by recombinant tissue plasminogen activator (rt-PA) within 4.5 hours after onset of stroke and its modeling by data mining methods is an important…
View article: Using machine learning method for classification body mass index of people for clinical decision
Using machine learning method for classification body mass index of people for clinical decision Open
Introduction: Body mass index (BMI) is an acceptable method to measure overweight and obesity among the population. Objectives: The aim of this study was evaluating the application of machine learning algorithms for classifying body mass i…
View article: Using Machine Learning Method for classification Body Mass Index for clinical decision
Using Machine Learning Method for classification Body Mass Index for clinical decision Open
Background: Body mass index (BMI) is a good method for measure the overweight and obesity among people. The aim of this study was to develop a machine learning method to classification of BMI for clinical application. Methods: In this stud…