Results 1 to 10 of about 127,696,973 (248)

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

International 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, Dietmar Marder, Sneha Datta, Andreas Meister, Emsad Puric, Emanuel Stutz, Susanne Rogers, Brigitte Eberle, Olaf Timm, Michal Staruch, Oliver Riesterer, Stephan Bodis   +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

SoftwareX, 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   +5 more sources

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

Diabetes & 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, Hiroshi Maegawa, Katsutaro Morino, Yoshihiko Nishio, Toshiyuki Sato, Seiki Okada, Yasuo Kikkawa, Toshihiro Watanabe, Hiromu Nakajima, Atsunori Kashiwagi   +9 more
doaj   +3 more sources

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

Journal 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, Abu Bakar Ibrahim, Sumayyah Dzulkifly, Fauzi Mohammad Yusof, Ramli Awang Nor, Razali Ariffin   +5 more
doaj   +2 more sources

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

Practical Laboratory Medicine, 2023
Current pharmacy practice guidelines recommend 24-h area-under-curve (AUC24) targets for use of vancomycin against methicillin-resistant Staphylococcus aureus (MRSA). AUC protocol-specific vancomycin orders were begun recently (2022) at our institution.
Douglas F Stickle
exaly   +4 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

Journal 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, Toshimi Kimura, Yukihiro Hamada, Takashi Niwa, Yuki Hanai, Masayuki Chuma, Satoshi Fujii, Kazuaki Matsumoto, Akari Shigemi, Hideki Kawamura, Yoshiko Takahashi, Yoshio Takesue   +11 more
doaj   +3 more sources

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

Antibiotics, 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, Wasan Katip, Stephen J. Kerr, Noppadol Wacharachaisurapol, Thanyawee Puthanakit   +4 more
doaj   +3 more sources

Prequential AUC: properties of the area under the ROC curve for data streams with concept drift

Knowledge and Information Systems, 2017
Modern data-driven systems often require classifiers capable of dealing with streaming imbalanced data and concept changes. The assessment of learning algorithms in such scenarios is still a challenge, as existing online evaluation measures focus on efficiency, but are susceptible to class ratio changes over time. In case of static data, the area under
Dariusz Brzezinski, Jerzy Stefanowski
exaly   +2 more sources

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

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
doaj   +1 more source

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, Md. Rafiul Hassan, Irfan Ahmad, Mohammad Mehedi Hassan, Victor Hugo C. De Albuquerque   +4 more
doaj   +1 more source