AIMC Topic: ROC Curve

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Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases.

JCO clinical cancer informatics Oct 1, 2022
PURPOSE: Artificial intelligence (AI) models for medical image diagnosis are often trained and validated on curated data. However, in a clinical setting, images that are outliers with respect to the training data, such as those representing rare dise...
Humans Artificial Intelligence Trust ROC Curve Data Collection
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The genetic algorithm-aided three-stage ensemble learning method identified a robust survival risk score in patients with glioma.

Briefings in bioinformatics Sep 20, 2022
Ensemble learning is a kind of machine learning method which can integrate multiple basic learners together and achieve higher accuracy. Recently, single machine learning methods have been established to predict survival for patients with cancer. How...
Humans Machine Learning Risk Factors ROC Curve Glioma
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DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations.

Briefings in bioinformatics Sep 20, 2022
Drug combination therapies are superior to monotherapy for cancer treatment in many ways. Identifying novel drug combinations by screening is challenging for the wet-lab experiments due to the time-consuming process of the enormous search space of po...
Neural Networks, Computer Algorithms ROC Curve Computational Biology Drug Combinations
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AI analysis and modified type classification for endocytoscopic observation of esophageal lesions.

Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus Sep 14, 2022
Endocytoscopy (EC) facilitates real-time histological diagnosis of esophageal lesions in vivo. We developed a deep-learning artificial intelligence (AI) system for analysis of EC images and compared its diagnostic ability with that of an expert patho...
Humans Artificial Intelligence Endoscopy ROC Curve Image Processing, Computer-Assisted Esophagus
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Identifying infected patients using semi-supervised and transfer learning.

Journal of the American Medical Informatics Association : JAMIA Sep 12, 2022
OBJECTIVES: Early identification of infection improves outcomes, but developing models for early identification requires determining infection status with manual chart review, limiting sample size. Therefore, we aimed to compare semi-supervised and t...
Humans Machine Learning Retrospective Studies Sepsis ROC Curve
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IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism.

Bioinformatics (Oxford, England) Sep 2, 2022
MOTIVATION: Identifying drug-target interactions is a crucial step for drug discovery and design. Traditional biochemical experiments are credible to accurately validate drug-target interactions. However, they are also extremely laborious, time-consu...
Neural Networks, Computer Drug Discovery ROC Curve Area Under Curve Drug Interactions
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Natural Language Processing Approaches for Automated Multilevel and Multiclass Classification of Breast Lesions on Free-Text Cytopathology Reports.

JCO clinical cancer informatics Sep 1, 2022
PURPOSE: The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps in concise and effective clinical decisio...
Humans Neural Networks, Computer Electronic Health Records ROC Curve Natural Language Processing Research Report
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A deep learning method for predicting metabolite-disease associations via graph neural network.

Briefings in bioinformatics Jul 18, 2022
Metabolism is the process by which an organism continuously replaces old substances with new substances. It plays an important role in maintaining human life, body growth and reproduction. More and more researchers have shown that the concentrations ...
Humans Neural Networks, Computer Algorithms Deep Learning ROC Curve
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Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Automated Electrocardiogram (ECG) classification using deep neural networks requires large datasets annotated by medical professionals, which is time-consuming and expensive. This work examines ECG augmentation as a method for enriching existing data...
Neural Networks, Computer Deep Learning ROC Curve Electrocardiography
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An Approach to Differentiate Cell Painted ER and Cytoplasm Using Zernike Moment Descriptor and Multilayer Perceptron.

Studies in health technology and informatics Jun 29, 2022
Differentiation of cell organelle characteristics from microscopic images is a challenging task due to its intricate structural details. In this work, an attempt has been made to categorize Endoplasmic Reticulum (ER) and cytoplasm using orthogonal Ze...
Neural Networks, Computer ROC Curve Endoplasmic Reticulum
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