AIMC Topic: Area Under Curve

Clear Filters Showing 481 to 490 of 1194 articles

Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
ROC Curve Area Under Curve Equipment Design Radiographic Image Interpretation, Computer-Assisted Tuberculosis, Pulmonary False Positive Reactions Radiography, Thoracic Thorax X-Rays Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Computer Systems Humans Neural Networks, Computer Algorithms Databases, Factual
View on PubMed DOI

Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Area Under Curve Italy Urinary Tract Infections Machine Learning Models, Biological Algorithms Middle Aged Humans Female Drug Resistance, Multiple, Bacterial Neural Networks, Computer ROC Curve Aged Support Vector Machine Male
View on PubMed DOI

Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Sex Factors Survival Analysis Internationality Belgium Clinical Laboratory Techniques Triage Area Under Curve Italy Coronavirus Infections COVID-19 Testing Pneumonia, Viral Humans Machine Learning Reproducibility of Results Hospitalization Aged Adult Pandemics Male COVID-19 Retrospective Studies Female Middle Aged Risk Assessment Severity of Illness Index China Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Age Factors Predictive Value of Tests
View on PubMed DOI

Predicting essential genes of 41 prokaryotes by a semi-supervised method.

Analytical biochemistry Aug 19, 2020
Essential genes are vitally important to the survival and reproduction of organisms. Many machine learning methods have been widely employed to predict essential genes and have obtained satisfactory results. However, most of these methods are supervi...
Databases, Genetic Genes, Essential Area Under Curve Supervised Machine Learning Prokaryotic Cells ROC Curve
View on PubMed DOI

m7GPredictor: An improved machine learning-based model for predicting internal m7G modifications using sequence properties.

Analytical biochemistry Aug 14, 2020
As one of the most important post-transcriptional modifications, the N7-methylguanosine (m7G) plays a key role in many RNA processing events. The accurate identification of m7G is crucial for elucidating its biological significance and future applica...
Machine Learning User-Computer Interface ROC Curve Models, Theoretical Support Vector Machine Databases, Genetic Area Under Curve Guanosine
View on PubMed DOI

Time-series cardiovascular risk factors and receipt of screening for breast, cervical, and colon cancer: The Guideline Advantage.

PloS one Aug 13, 2020
BACKGROUND: Cancer is the second leading cause of death in the United States. Cancer screenings can detect precancerous cells and allow for earlier diagnosis and treatment. Our purpose was to better understand risk factors for cancer screenings and a...
Cardiovascular Diseases Middle Aged Deep Learning ROC Curve Early Detection of Cancer Female Risk Factors Adult Breast Neoplasms Uterine Cervical Neoplasms Area Under Curve Colonic Neoplasms Humans Guidelines as Topic
View on PubMed DOI

cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks.

Proteins Aug 7, 2020
Intrinsically disordered regions (IDR) play an important role in key biological processes and are closely related to human diseases. IDRs have great potential to serve as targets for drug discovery, most notably in disordered binding regions. Accurat...
Datasets as Topic Intrinsically Disordered Proteins Sequence Analysis, Protein Multifactor Dimensionality Reduction Computational Biology Area Under Curve Benchmarking Humans Neural Networks, Computer Machine Learning ROC Curve Amino Acid Sequence Data Mining
View on PubMed DOI

Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Electroencephalography Animals Seizures ROC Curve Electrocorticography Rats Signal Processing, Computer-Assisted Kainic Acid Disease Models, Animal Linear Models Excitatory Amino Acid Agonists Area Under Curve Epilepsies, Partial Machine Learning Reproducibility of Results
View on PubMed DOI

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.

The European respiratory journal Aug 6, 2020
Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient in many regions. Fast diagnosis of COVID-19 and finding high-risk patients with worse prognosis for early prevention and medical resource optimisation ...
Aged Humans Lung Diseases, Fungal Adult Pandemics Pneumonia, Bacterial Male COVID-19 Betacoronavirus Middle Aged Prognosis Pneumonia, Viral Lung Retrospective Studies Pneumonia, Mycoplasma Tomography, X-Ray Computed Deep Learning Female Image Processing, Computer-Assisted SARS-CoV-2 Area Under Curve Coronavirus Infections Automation
View on PubMed DOI

Development and validation of an explainable artificial intelligence-based decision-supporting tool for prostate biopsy.

BJU international Aug 4, 2020
OBJECTIVES: To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI).
Humans Middle Aged Artificial Intelligence Diagnosis, Computer-Assisted Algorithms Decision Support Systems, Clinical Aged Area Under Curve Male Prostatic Neoplasms Prostate Biopsy
View on PubMed DOI
Popular Topics
Recent Journals