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ROC Curve

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A Study on 3D Deep Learning-Based Automatic Diagnosis of Nasal Fractures.

Sensors (Basel, Switzerland) Jan 10, 2022
This paper reported a study on the 3-dimensional deep-learning-based automatic diagnosis of nasal fractures. (1) Background: The nasal bone is the most protuberant feature of the face; therefore, it is highly vulnerable to facial trauma and its fract...
Deep Learning ROC Curve Fractures, Bone Neural Networks, Computer Tomography, X-Ray Computed Humans
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Prediction of Lung Infection during Palliative Chemotherapy of Lung Cancer Based on Artificial Neural Network.

Computational and mathematical methods in medicine Jan 10, 2022
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and increases pain. The study is aimed at establishing the prediction model of infection in patients with lung cancer during chemotherapy by an artificial neural...
Antineoplastic Combined Chemotherapy Protocols Palliative Care Respiratory Tract Infections Cross Infection Lung Neoplasms Computational Biology Logistic Models Female Risk Factors Aged Middle Aged ROC Curve Aged, 80 and over Male Humans Neural Networks, Computer Algorithms
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Artificial intelligence predicts clinically relevant atrial high-rate episodes in patients with cardiac implantable electronic devices.

Scientific reports Jan 7, 2022
To assess the utility of machine learning (ML) algorithms in predicting clinically relevant atrial high-rate episodes (AHREs), which can be recorded by a pacemaker. We aimed to develop ML-based models to predict clinically relevant AHREs based on the...
Prospective Studies Republic of Korea Female Aged Humans Artificial Intelligence Machine Learning Pacemaker, Artificial Clinical Decision Rules ROC Curve Models, Statistical Registries Atrial Fibrillation Aged, 80 and over Male Cohort Studies
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Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients.

PloS one Jan 6, 2022
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes and efficient utilization of resources. Accessibility of electronic health records (EHR) has enabled data-driven predictive modeling using machine learning....
Logistic Models Area Under Curve Humans Length of Stay Intensive Care Units Machine Learning Hospital Mortality Databases, Factual Electronic Health Records ROC Curve
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A 12-hospital prospective evaluation of a clinical decision support prognostic algorithm based on logistic regression as a form of machine learning to facilitate decision making for patients with suspected COVID-19.

PloS one Jan 5, 2022
OBJECTIVE: To prospectively evaluate a logistic regression-based machine learning (ML) prognostic algorithm implemented in real-time as a clinical decision support (CDS) system for symptomatic persons under investigation (PUI) for Coronavirus disease...
Humans Machine Learning Decision Support Systems, Clinical Logistic Models Triage Emergency Service, Hospital COVID-19 Severity of Illness Index ROC Curve
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Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm.

PloS one Dec 31, 2021
OBJECTIVE: To explore the feasibility of using random forest (RF) machine learning algorithm in assessing normal and malignant peripheral pulmonary nodules based on in vivo endobronchial optical coherence tomography (EB-OCT).
Middle Aged Humans Multiple Pulmonary Nodules Aged, 80 and over ROC Curve Machine Learning Tomography, Optical Coherence Female Adult Algorithms Aged Male Tomography, X-Ray Computed Image Processing, Computer-Assisted Inflammation
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A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory.

Clinical chemistry and laboratory medicine Dec 29, 2021
OBJECTIVES: Delta check (DC) is widely used for detecting sample mix-up. Owing to the inadequate error detection and high false-positive rate, the implementation of DC in real-world settings is labor-intensive and rarely capable of absolute detection...
ROC Curve Laboratories, Clinical Machine Learning Algorithms Deep Learning Humans
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Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy.

Journal of diabetes research Dec 28, 2021
This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic retinopathy (DR) that was trained using a dataset with high variability and predominant type 2 diabetes (T2D) and comparing model performance with that in...
Area Under Curve ROC Curve Humans Diabetes Mellitus, Type 1 Diabetic Retinopathy Taiwan Deep Learning
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FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.

Academic radiology Dec 27, 2021
RATIONALE AND OBJECTIVES: To assess key trends, strengths, and gaps in validation studies of the Food and Drug Administration (FDA)-regulated imaging-based artificial intelligence/machine learning (AI/ML) algorithms.
United States Artificial Intelligence United States Food and Drug Administration Machine Learning Humans Algorithms ROC Curve
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Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.

Scientific reports Dec 24, 2021
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting in-hospital mortality in COVID-19 patients with AKI (AKI-COV score)....
Humans Prospective Studies Acute Kidney Injury Hospital Mortality Aged Registries Machine Learning Middle Aged Female ROC Curve Male COVID-19 Comorbidity SARS-CoV-2 Area Under Curve Risk Factors
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