AIMC Topic: ROC Curve

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Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain.

IEEE transactions on medical imaging Jun 1, 2023
In this study, we proposed a computer-aided diagnosis (CADx) framework under dual-energy spectral CT (DECT), which operates directly on the transmission data in the pre-log domain, called CADxDE, to explore the spectral information for lesion diagnos...
Tomography, X-Ray Computed Diagnosis, Computer-Assisted ROC Curve Neural Networks, Computer Machine Learning
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Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology May 23, 2023
BACKGROUND: The aim of this research was to asses perfusion-defect detection-accuracy by human observers as a function of reduced-counts for 3D Gaussian post-reconstruction filtering vs deep learning (DL) denoising to determine if there was improved ...
Myocardial Perfusion Imaging ROC Curve Image Processing, Computer-Assisted Phantoms, Imaging Heart Tomography, Emission-Computed, Single-Photon Humans Deep Learning
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Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.

Biotechnology & genetic engineering reviews May 14, 2023
This study aimed to evaluate the potential of deep learning applied to the measurement of echocardiographic data in patients with sudden cardiac death (SCD). 320 SCD patients who met the inclusion and exclusion criteria underwent clinical evaluation,...
Death, Sudden, Cardiac Deep Learning ROC Curve Aged Adult Echocardiography Middle Aged Female Male Humans Risk Factors
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A machine learning approach for the diagnosis of obstructive sleep apnoea using oximetry, demographic and anthropometric data.

Singapore medical journal May 2, 2023
INTRODUCTION: Obstructive sleep apnoea (OSA) is a serious but underdiagnosed condition. Demand for the gold standard diagnostic polysomnogram (PSG) far exceeds its availability. More efficient diagnostic methods are needed, even in tertiary settings....
Humans Neural Networks, Computer Female Aged Adult Machine Learning Algorithms Sleep Apnea, Obstructive Anthropometry Polysomnography Oximetry Demography Middle Aged ROC Curve Predictive Value of Tests Sensitivity and Specificity Male
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Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm.

Artificial intelligence in medicine May 2, 2023
BACKGROUND: Proper maintenance of hypnosis is crucial for ensuring the safety of patients undergoing surgery. Accordingly, indicators, such as the Bispectral index (BIS), have been developed to monitor hypnotic levels. However, the black-box nature o...
Humans Algorithms Electroencephalography Deep Learning ROC Curve
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Evaluation of the dataset quality in gamma passing rate predictions using machine learning methods.

The British journal of radiology May 2, 2023
OBJECTIVE: Gamma passing rate (GPR) predictions using machine learning methods have been explored for treatment verification of radiotherapy plans. However, these methods presented datasets with unbalanced number of plans having different treatment c...
Machine Learning Reproducibility of Results ROC Curve Humans Neural Networks, Computer
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Deep Learning vs Traditional Models for Predicting Hospital Readmission among Patients with Diabetes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
A hospital readmission risk prediction tool for patients with diabetes based on electronic health record (EHR) data is needed. The optimal modeling approach, however, is unclear. In 2,836,569 encounters of 36,641 diabetes patients, deep learning (DL)...
Diabetes Mellitus Patient Readmission Deep Learning ROC Curve Humans Neural Networks, Computer
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Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction.

The Laryngoscope Apr 21, 2023
BACKGROUND: Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored.
Humans Machine Learning Aged ROC Curve Nutrition Surveys Eye Middle Aged Exercise
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Diagnosis of gastric cancer based on hybrid genes selection approach.

Biotechnology & genetic engineering reviews Apr 20, 2023
Gastric cancer (GC) is the third leading cause of cancer death worldwide. In the field of medicine, machine learning is widely used in genetic data mining and the construction of diagnostic models. This study proposed an intelligent model DERFS-XGBoo...
Gene Expression Profiling ROC Curve Algorithms Stomach Neoplasms Humans Gene Expression Regulation, Neoplastic Biomarkers, Tumor Machine Learning
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Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset.

Medical image analysis Apr 20, 2023
Histopathology is a crucial diagnostic tool in cancer and involves the analysis of gigapixel slides. Multiple instance learning (MIL) promises success in digital histopathology thanks to its ability to handle gigapixel slides and work with weak label...
ROC Curve Lymphatic Metastasis Machine Learning Algorithms Humans
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