Results 71 to 80 of about 478,663 (300)

Evaluation of the Methods for Nonlinear Analysis of Heart Rate Variability

Fractal and Fractional, 2023
The dynamics of cardiac signals can be studied using methods for nonlinear analysis of heart rate variability (HRV). The methods that are used in the article to investigate the fractal, multifractal and informational characteristics of the intervals ...
Evgeniya Gospodinova, Penio Lebamovski, Galya Georgieva-Tsaneva, Mariya Negreva   +3 more
doaj   +1 more source

Epigenetic silencing of the liver‐specific lncRNA LUNAR promotes liver cancer progression via NOTCH activation

Molecular Oncology, EarlyView.
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang, Hyung Seok Kim, Geum Ok Baek, Moon Gyeong Yoon, Su In Lee, Jee‐Yeong Jeong, Ji Eun Han, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun   +9 more
wiley   +1 more source

Receiver operating characteristic curve

Current Medicine Research and Practice, 2012
A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects.
Anita Singh, Vivek Choudhury, Satish Saluja   +2 more
doaj  

Comparing the Relative Efficacy of Generalized Estimating Equations, Latent Growth Curve Modeling, and Area Under the Curve with a Repeated Measures Discrete Ordinal Outcome Variable

Stats
Researchers are often interested in how changes in one variable influence changes in a second variable, requiring the repeated measures of two variables.
Daniel Rodriguez, Ryan Verma, Juliana Upchurch   +2 more
doaj   +1 more source

Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine

Frontiers in Veterinary Science, 2023
Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are frequently used to evaluate diagnostic assays ...
Jinji Pang, Jinji Pang, Wangqian Ju, Michael Welch, Phillip Gauger, Peng Liu, Qijing Zhang, Chong Wang, Chong Wang   +8 more
doaj   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

Area Under the Curve (AUC) based on the training dataset. [PDF]

, 2013
Area Under the Curve (AUC) was obtained from the ROC curves of 9 predictors: AUC cannot be computed for AMYLPRED2 as it provides only a binary prediction. For each method, the global AUC, the AUC for the False Positive Rate range of 0–20% and the AUC for
Mathieu Emily (39337), Anthony Talvas (486858), Christian Delamarche (50721)   +2 more
core   +1 more source

Different classifier results for model accuracy, Kappa statistics, RMSE, F-measure, Area under Curve (AUC) and Precision Recall Curve (PRC). [PDF]

, 2022
Different classifier results for model accuracy, Kappa statistics, RMSE, F-measure, Area under Curve (AUC) and Precision Recall Curve (PRC).
Mohamed Mostafa Mohamed (12456380), Qasim Khan (1409014), Nazar Zaki (347364), Edda Kalbus (12456377)   +3 more
core   +1 more source

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account

Frontiers in Artificial Intelligence, 2021
Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for reporting performance of binary classifiers.
Khashayar Namdar, Khashayar Namdar, Masoom A. Haider, Masoom A. Haider, Farzad Khalvati, Farzad Khalvati   +5 more
doaj   +1 more source

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source