AIMC 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
Mutation Hispanic or Latino Heart Failure Biological Specimen Banks Black or African American Prealbumin Cardiomyopathies Case-Control Studies Incidence ROC Curve Area Under Curve Penetrance Amyloid Neuropathies, Familial Clinical Decision Rules Humans Machine Learning Electronic Health Records
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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.
Humans COVID-19 Prospective Studies ROC Curve Female Intubation, Intratracheal Middle Aged Predictive Value of Tests Hospitalization Respiration, Artificial Critical Care Aged Deep Learning Health Services Needs and Demand Male
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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...
Multivariate Analysis Severity of Illness Index ROC Curve Image Processing, Computer-Assisted Area Under Curve Middle Aged Tomography, X-Ray Computed Female Disease Progression Lung SARS-CoV-2 Humans Aged Aged, 80 and over Artificial Intelligence Adult COVID-19 Male Retrospective Studies
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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. ...
Gene Ontology Protein Interaction Mapping Task Performance and Analysis Saccharomyces cerevisiae Molecular Sequence Annotation Humans Animals ROC Curve Mice Computational Biology Area Under Curve
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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...
Drug Evaluation, Preclinical Neural Networks, Computer Quantitative Structure-Activity Relationship ROC Curve Glycoside Hydrolase Inhibitors beta-Glucosidase
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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...
Humans Deep Learning Artificial Intelligence ROC Curve Algorithms Area Under Curve Fundus Oculi
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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...
Humans Machine Learning Decision Trees Discriminant Analysis Algorithms ROC Curve Support Vector Machine
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Predicting hospitalization following psychiatric crisis care using machine learning.

BMC medical informatics and decision making Dec 10, 2020
BACKGROUND: Accurate prediction models for whether patients on the verge of a psychiatric criseis need hospitalization are lacking and machine learning methods may help improve the accuracy of psychiatric hospitalization prediction models. In this pa...
Humans Machine Learning Male Female Middle Aged Logistic Models Algorithms Hospitalization ROC Curve Family Characteristics Forecasting Aged Mental Disorders Adult
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Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.

Scientific reports Dec 7, 2020
Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treat...
Middle Aged Quality of Life Deep Learning ROC Curve Aged Sensitivity and Specificity Male Parkinson Disease Humans Female
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Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost.

Journal of translational medicine Dec 7, 2020
BACKGROUND: Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible predicti...
Sepsis Humans Hospital Mortality ROC Curve Machine Learning Logistic Models
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