Results 21 to 30 of about 15,186,604 (295)

LRMCMDA: Predicting miRNA-Disease Association by Integrating Low-Rank Matrix Completion With miRNA and Disease Similarity Information

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, Wen Zhu, Lijun Cai, Bo Liao, Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang   +8 more
doaj   +1 more source

Evaluation of limited-sampling strategies to calculate AUC(0–24) and the role of CYP3A5 in Chilean pediatric kidney recipients using extended-release tacrolimus

Frontiers in Pharmacology, 2023
Background: Kidney transplantation (KTx) requires immunosuppressive drugs such as Tacrolimus (TAC) which is mainly metabolized by CYP3A5. TAC is routinely monitored by trough levels (C0) although it has not shown to be a reliable marker.
Carla Galvez, Pía Boza, Mariluz González, Catalina Hormazabal, Marlene Encina, Manuel Azócar, Luis E. Castañeda, Angélica Rojo, María Luisa Ceballos, María Luisa Ceballos, Paola Krall, Paola Krall   +11 more
doaj   +1 more source

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, Kuss, Oliver, Zapf, Antonia   +2 more
openaire   +3 more sources

[Area under the curve)] The classification performance using AUC (area under the curve) and accuracy analysis for each group.

, 2023
[Area under the curve)] The classification performance using AUC (area under the curve) and accuracy analysis for each group.
Kazım Kılıç (16985977), Gökalp Çınarer (16985974), Hasan Ikbal Atilgan (5762837), Tuba Parlar (16985983), Gülcan Bulut (16985971), Deniz Yıkar (16985980)   +5 more
core   +1 more source

Application of SHAP on CatBoost classification for identification of variabels characterizing food insecurity occurrences in Aceh Province households

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, INA YATUL ULYA, EVI RAMADHANI, BAGUS SARTONO, ALFIAN FUTUHUL HADI   +4 more
doaj   +1 more source

Do unbalanced data have a negative effect on LDA? [PDF]

, 2008
For two-class discrimination, Xie and Qiu [The effect of imbalanced data sets on LDA: a theoretical and empirical analysis, Pattern Recognition 40 (2) (2007) 557–562] claimed that, when covariance matrices of the two classes were unequal, a (class ...
Titterington, D.M., Xue, J.H.
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, Min Jin, Xianfang Tang, Junlin Xu   +3 more
doaj   +1 more source

Area under curve (AUC) values of qualitative parameters of glottis.

, 2023
Area under curve (AUC) values of qualitative parameters of glottis.
Adeena Khan (17304816), Mamoona Sultan (17304825), Syed S. Habib (17304822), Waleed M. S. Fawzy (17304819)   +3 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

Performances of depression detection through deep learning-based natural language processing to mandarin chinese medical records: Comparison between civilian and military populations

Taiwanese Journal of Psychiatry, 2022
Objective: A certain portion of patients with depression is under-diagnosed and has attracted the attention in the field of natural language processing (NLP).
Tai- Yu Chen, Hsuan- Te Chu, Yueh- Ming Tai, Szu- Nian Yang   +3 more
doaj   +1 more source