Results 1 to 10 of about 419,801 (152)

Characteristics and calculations of paired vancomycin measurements for determination of 24-h area-under-curve (AUC) [PDF]

open access: yesPractical Laboratory Medicine, 2023
Background: Current pharmacy practice guidelines recommend 24-h area-under-curve (AUC24) targets for use of vancomycin against methicillin-resistant Staphylococcus aureus (MRSA).
Yutao Deng   +3 more
doaj   +6 more sources

Quantification of thermal dose in moderate clinical hyperthermia with radiotherapy: a relook using temperature–time area under the curve (AUC) [PDF]

open access: yesInternational Journal of Hyperthermia, 2021
Background Thermal dose in clinical hyperthermia reported as cumulative equivalent minutes (CEM) at 43 °C (CEM43) and its variants are based on direct thermal cytotoxicity assuming Arrhenius ‘break’ at 43 °C.
Niloy R. Datta   +11 more
doaj   +4 more sources

ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets

open access: yesSoftwareX, 2021
In this paper, we propose a novel R package, named ImbTreeAUC, for building binary and multiclass decision tree using the area under the receiver operating characteristic (ROC) curve.
Krzysztof Gajowniczek, Tomasz Ząbkowski
doaj   +4 more sources

Evaluation of a Novel Glucose Area Under the Curve (AUC) Monitoring System: Comparison with the AUC by Continuous Glucose Monitoring [PDF]

open access: yesDiabetes & Metabolism Journal, 2016
BackgroundManagement of postprandial hyperglycemia is a key aspect in diabetes treatment. We developed a novel system to measure glucose area under the curve (AUC) using minimally invasive interstitial fluid extraction technology (MIET) for simple ...
Satoshi Ugi   +9 more
doaj   +3 more sources

Analysis of the Area Under a Curve (AUC) using C-programming: Trapezium and Simpson rules techniques.

open access: yesJournal of ICT in Education, 2022
This study aimed to analyze the Area Under a Curve (AUC) using C-programming i.e. Trapezium and Simpson rules. There are various mathematical methods that can be applied to solve numerical integration for different data spaces.
Ainul Nadira Tuah   +5 more
doaj   +2 more sources

Predicting the Area under the Plasma Concentration-Time Curve (AUC) for First Dose Vancomycin Using First-Order Pharmacokinetic Equations

open access: yesAntibiotics, 2023
To treat critically ill patients, early achievement of the target area under the plasma concentration-time curve/minimum inhibitory concentration (AUC/MIC) in the first 24 h is recommended.
Kritsaporn Sujjavorakul   +4 more
doaj   +3 more sources

Candidates for area under the concentration–time curve (AUC)-guided dosing and risk reduction based on analyses of risk factors associated with nephrotoxicity in vancomycin-treated patients

open access: yesJournal of Global Antimicrobial Resistance, 2021
: Objectives: : Compared with vancomycin trough concentration (Cmin)-guided dosing, area under the concentration–time curve (AUC)-guided dosing is associated with decreased acute kidney injury (AKI).
Naoto Hashimoto   +11 more
doaj   +3 more sources

Teknik Resampling untuk Mengatasi Ketidakseimbangan Kelas pada Klasifikasi Penyakit Diabetes Menggunakan C4.5, Random Forest, dan SVM

open access: yesTechno.Com, 2021
Penderita diabetes di seluruh dunia terus mengalami peningkatan dengan angka kematian sebesar 4,6 juta pada tahun 2011 dan diperkirakan akan terus meningkat secara global menjadi 552 juta pada tahun 2030.
Wahyu Nugraha, Raja Sabaruddin
doaj   +1 more source

Application of the GIS in the Determination of Susceptible Areas to Gully Erosion Using the Analytic Network Process (ANP) [PDF]

open access: yesپژوهش‌های آبخیزداری, 2018
Gully erosion is types of water erosion that its occurrence and development lead to the loss of fertile agricultural soil, depletion of soil and groundwater. The objectives of this study were to investigate gully erosion and determine the sensitive areas
Reza Gornami, Samad Shadfar
doaj   +1 more source

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

open access: yesBioData 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
doaj   +1 more source

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