Results 11 to 20 of about 423,872 (249)
BioData Mining, 2023 Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard metric to evaluate binary classifications in ...
Davide Chicco, Giuseppe Jurman
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A Novel Linear Classifier for Class Imbalance Data Arising in Failure-Prone Air Pressure Systems
IEEE Access, 2021 An Air Pressure System (APS) is one of the crucial components of an automobile. Its failure leads to financial loses, and it may lead to loss of lives. Thus predicting such failure is a critical problem that requires a rigorous solution.
Mujahid N. Syed +4 more
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Future Journal of Pharmaceutical Sciences, 2023 Background This study set out to look at how naringenin affected the pharmacokinetics of ranolazine in rats. The pharmacokinetic investigation of ranolazine in rats following oral administration of ranolazine with or without coadministration of ...
Faisal Alotaibi
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Inference about time-dependent prognostic accuracy measures in the presence of competing risks
BMC Medical Research Methodology, 2020 Background Evaluating a candidate marker or developing a model for predicting risk of future conditions is one of the major goals in medicine. However, model development and assessment for a time-to-event outcome may be complicated in the presence of ...
Rajib Dey +2 more
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Jurnal Natural, 2023 Classification is the process of building a model that can distinguish between different classes of data. The model aims to predict the class of testing data based on patterns or relationships learned from training data.
MUHAMMAD SUBIANTO +4 more
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IEEE Access, 2020 Identifying disease-related microRNAs (miRNAs) is crucial to understanding the etiology and pathogenesis of many diseases. However, existing computational methods are facing a few dilemmas such as lacking “negative samples” (i.e.
Junlin Xu +8 more
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Degree-Based Similarity Indexes for Identifying Potential miRNA-Disease Associations
IEEE Access, 2020 Identifying disease-associated miRNAs is helpful to explore the pathogenesis of diseases. However, without foreknowledge of the experimentally valid disease-associated miRNAs information, the development of promising and affordable approaches for ...
Yajie Meng +3 more
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A modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies [PDF]
BMC Medical Research Methodology, 2014 The area under the receiver operating characteristic (ROC) curve, referred to as the AUC, is an appropriate measure for describing the overall accuracy of a diagnostic test or a biomarker in early phase trials without having to choose a threshold. There are many approaches for estimating the confidence interval for the AUC.
Kottas, Martina +2 more
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UV SPECTROPHOTOMETRIC METHODS FOR THE SIMULTANEOUS DETERMINATION OF AMOXICILLIN AND FLUCLOXACILLIN. [PDF]
Al-Azhar Journal of Pharmaceutical Sciences, 2016 Spectrophotometric methods were introduced for the simultaneous determination of Amoxicillin (AMX) and flucloxacillin(FLX) in their pure forms and capsules pharmaceutical formulations.
Maya Eissa
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Relationship between Vancomycin Area Under the Concentration-Time Curve (AUC) and Nephrotoxicity in Adults [PDF]
Open Forum Infectious Diseases, 2017 Abstract Background While recent data correlate vancomycin’s ratio of the area under the 24 hour time-concentration curve (AUC0−24h) to the pathogen’s minimal inhibitory concentration (MIC) of > 400 mg*hours/L with a favorable clinical outcome, data are sparse to correlate vancomycin AUC0−24h ...
David Allen, Mary Townsend, Richard Drew
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