AIMC Topic:
ROC Curve

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Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning.

PLoS neglected tropical diseases Dec 23, 2020
BACKGROUND: Dengue virus causes a wide spectrum of disease, which ranges from subclinical disease to severe dengue shock syndrome. However, estimating the risk of severe outcomes using clinical presentation or laboratory test results for rapid patien...
Humans Diagnostic Tests, Routine Male Machine Learning Demography Middle Aged Neural Networks, Computer Prognosis ROC Curve Dengue Female Logistic Models Risk Factors
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Predicting the Development of Surgery-Related Pressure Injury Using a Machine Learning Algorithm Model.

The journal of nursing research : JNR Dec 21, 2020
BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learnin...
Male Middle Aged ROC Curve Humans Risk Assessment Female Cardiac Surgical Procedures Postoperative Complications Pressure Ulcer Adolescent Risk Factors Cohort Studies Aged Machine Learning Child, Preschool Adult Child Algorithms Prospective Studies
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RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix.

Genes Dec 20, 2020
BACKGROUND: Post-translational modification (PTM) is a biological process that is associated with the modification of proteome, which results in the alteration of normal cell biology and pathogenesis. There have been numerous PTM reports in recent ye...
Lysine Support Vector Machine Glyceric Acids Protein Processing, Post-Translational Software Amino Acid Sequence Algorithms Datasets as Topic ROC Curve
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Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank.

The American journal of cardiology Dec 18, 2020
Black or African American Prealbumin Cardiomyopathies Penetrance Mutation Hispanic or Latino Heart Failure Biological Specimen Banks Amyloid Neuropathies, Familial Clinical Decision Rules Humans Machine Learning Electronic Health Records Case-Control Studies Incidence ROC Curve Area Under Curve
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Development and Prospective Validation of a Deep Learning Algorithm for Predicting Need for Mechanical Ventilation.

Chest Dec 17, 2020
BACKGROUND: Objective and early identification of hospitalized patients, and particularly those with novel coronavirus disease 2019 (COVID-19), who may require mechanical ventilation (MV) may aid in delivering timely treatment.
Health Services Needs and Demand Intubation, Intratracheal Aged Deep Learning COVID-19 Humans ROC Curve Prospective Studies Male Predictive Value of Tests Female Middle Aged Critical Care Hospitalization Respiration, Artificial
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Prediction of disease progression in patients with COVID-19 by artificial intelligence assisted lesion quantification.

Scientific reports Dec 16, 2020
To investigate the value of artificial intelligence (AI) assisted quantification on initial chest CT for prediction of disease progression and clinical outcome in patients with coronavirus disease 2019 (COVID-19). Patients with confirmed COVID-19 inf...
COVID-19 Retrospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence Lung Adult Severity of Illness Index ROC Curve SARS-CoV-2 Area Under Curve Male Image Processing, Computer-Assisted Aged Multivariate Analysis Middle Aged Aged, 80 and over Disease Progression
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Graph embeddings on gene ontology annotations for protein-protein interaction prediction.

BMC bioinformatics Dec 16, 2020
BACKGROUND: Protein-protein interaction (PPI) prediction is an important task towards the understanding of many bioinformatics functions and applications, such as predicting protein functions, gene-disease associations and disease-drug associations. ...
Task Performance and Analysis Saccharomyces cerevisiae Molecular Sequence Annotation Gene Ontology ROC Curve Mice Computational Biology Area Under Curve Protein Interaction Mapping Humans Animals
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Application 2D Descriptors and Artificial Neural Networks for Beta-Glucosidase Inhibitors Screening.

Molecules (Basel, Switzerland) Dec 15, 2020
Beta-glucosidase inhibitors play important medical and biological roles. In this study, simple two-variable artificial neural network (ANN) classification models were developed for beta-glucosidase inhibitors screening. All bioassay data were obtaine...
beta-Glucosidase ROC Curve Drug Evaluation, Preclinical Quantitative Structure-Activity Relationship Glycoside Hydrolase Inhibitors Neural Networks, Computer
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Development of a deep learning-based image eligibility verification system for detecting and filtering out ineligible fundus images: A multicentre study.

International journal of medical informatics Dec 13, 2020
BACKGROUND: Recent advances in artificial intelligence (AI) have shown great promise in detecting some diseases based on medical images. Most studies developed AI diagnostic systems only using eligible images. However, in real-world settings, ineligi...
Fundus Oculi Algorithms Humans Deep Learning Artificial Intelligence ROC Curve Area Under Curve
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Classification of Biodegradable Substances Using Balanced Random Trees and Boosted C5.0 Decision Trees.

International journal of environmental research and public health Dec 13, 2020
Substances that do not degrade over time have proven to be harmful to the environment and are dangerous to living organisms. Being able to predict the biodegradability of substances without costly experiments is useful. Recently, the quantitative str...
ROC Curve Support Vector Machine Decision Trees Discriminant Analysis Humans Machine Learning Algorithms
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