AIMC Topic: ROC Curve

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Deep learning applications for the accurate identification of low-transcriptional activity drugs and their mechanism of actions.

Pharmacological research Apr 20, 2022
Analysis of drug-induced expression profiles facilitated comprehensive understanding of drug properties. However, many compounds exhibit weak transcription responses though they mostly possess definite pharmacological effects. Actually, as a represen...
Tropisetron ROC Curve Area Under Curve Algorithms Deep Learning
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Deep learning model for tongue cancer diagnosis using endoscopic images.

Scientific reports Apr 15, 2022
In this study, we developed a deep learning model to identify patients with tongue cancer based on a validated dataset comprising oral endoscopic images. We retrospectively constructed a dataset of 12,400 verified endoscopic images from five universi...
Humans Retrospective Studies Neural Networks, Computer Deep Learning ROC Curve Tongue Tongue Neoplasms
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Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.

European radiology Apr 14, 2022
OBJECTIVES: Develop and evaluate a deep learning-based automatic meningioma segmentation method for preoperative meningioma differentiation using radiomic features.
Multiparametric Magnetic Resonance Imaging ROC Curve Magnetic Resonance Imaging Meningioma Meningeal Neoplasms Middle Aged Deep Learning Retrospective Studies Adult Humans
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Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.

Journal of medical Internet research Apr 13, 2022
BACKGROUND: Although machine learning (ML) algorithms have been applied to point-of-care sepsis prognostication, ML has not been used to predict sepsis mortality in an administrative database. Therefore, we examined the performance of common ML algor...
Machine Learning Adult Humans ROC Curve Logistic Models Sepsis Hospital Mortality
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Deep Learning Prediction of Ovarian Malignancy at US Compared with O-RADS and Expert Assessment.

Radiology Apr 12, 2022
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed with multimodal US. Purpose To develop DL algorithms for the automated classification of benign versus malignant ovarian tumors assessed with US and ...
Humans Deep Learning ROC Curve Ovarian Neoplasms Female Algorithms Middle Aged Retrospective Studies
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AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data.

Journal of biomedical informatics Apr 11, 2022
BACKGROUND: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among various decision-making models to determine the degree of disease deterioration at the bedside. AutoScore was proposed as a useful ...
Algorithms Clinical Decision-Making Logistic Models ROC Curve Machine Learning
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Assessment of deep learning assistance for the pathological diagnosis of gastric cancer.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Apr 8, 2022
Previous studies on deep learning (DL) applications in pathology have focused on pathologist-versus-algorithm comparisons. However, DL will not replace the breadth and contextual knowledge of pathologists; rather, only through their combination may t...
ROC Curve Pathologists Humans Stomach Neoplasms Algorithms Deep Learning
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Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.

Scientific reports Apr 4, 2022
Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of COVID-19 patients as the maximum severity over the course of the disease is closely linked to the outcome. As such, evaluation of future severity from ...
Deep Learning Humans ROC Curve COVID-19 Radiography
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Temporal shift and predictive performance of machine learning for heart transplant outcomes.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Mar 31, 2022
BACKGROUND: Outcome prediction following heart transplant is critical to explaining risks and benefits to patients and decision-making when considering potential organ offers. Given the large number of potential variables to be considered, this task ...
Adult Child Algorithms Humans Databases, Factual ROC Curve Machine Learning Heart Transplantation
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Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.

International journal of paediatric dentistry Mar 30, 2022
BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.
Retrospective Studies Humans ROC Curve Pilot Projects Tooth, Supernumerary Algorithms Deep Learning Child Dentition, Mixed
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