Results 31 to 40 of about 478,663 (300)
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
doaj +1 more source
Area Under the curve (AUC) of different OCT measurements. [PDF]
, 2019 Area Under the curve (AUC) of different OCT measurements.
Alfonso Casado (697004) +8 more
core +1 more source
Area Under the Curve (AUC) values after MaxEnt. [PDF]
, 2014 Area Under the Curve (AUC) values after MaxEnt.
Victor Sanchez-Cordero (5659030) +5 more
core +1 more source
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
doaj +1 more source
Receiver operating characteristic (ROC) curve and area under the curve (AUC) to evaluation the performance of the assay. [PDF]
, 2021 Receiver operating characteristic (ROC) curve and area under the curve (AUC) to evaluation the performance of the assay.
Tianyang Xu (1532233) +5 more
core +1 more source
Area under the ROC curve (AUC) for three validation sets. [PDF]
, 2019 Area under the ROC curve (AUC) for three validation sets.
Lingzhi Wang (114519) +5 more
core +1 more source
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
openaire +1 more source
Area under the curve (AUC) for the benchmarked algorithms. [PDF]
, 2014 Area under the curve (AUC) for the benchmarked algorithms.
Suzaimah Ramli (671637) +4 more
core +1 more source
Area under receiver operating characteristics curve (AUC) for D-dimer, H3Cit-DNA and NE. [PDF]
, 2022 Area under receiver operating characteristics curve (AUC) for D-dimer, H3Cit-DNA and NE.
Philip Smith (188930) +7 more
core +1 more source
HIV-1 RNA, Area Under the Curve (AUC) During TI. [PDF]
, 2016 HIV-1 RNA, Area Under the Curve (AUC) During TI.
Brandon F. Keele (50342) +13 more
core +1 more source