Results 81 to 90 of about 474,933 (300)

Imbalanced learning using the area under the curve and proximal support vector machine for image steganalysis

Journal of Engineering and Applied Science
The proposed research introduces a novel steganalytic tactic termed the Imbalanced Maximizing-AUC Proximal Support Vector Machine (PSVM). This method strengthens detection performance in the presence of imbalanced datasets by integrating AUC maximization
Xinpan LI
doaj   +1 more source

Evaluation of Performance of the Truncated Area Under Curve (AUC) as a Primary Pharmacokinetic Parameter in Bioequivalence Studies

Journal of Bioequivalence & Bioavailability, 2010
Background and Objective: Prolonged pharmacokinetic sampling is a challenge for successful conduction of the bioequivalence studies for drugs having long elimination half-lives. The regulatory authorities have recommended an alternative to consider the partial AUC (AUC0-72) for studying bioequivalence.
Suhas Sahebrao Khandave, Shahoo Vasant Onkar, Satish Vitthal Sawant   +2 more
openaire   +1 more source

Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).

, 2019
Stanford decoding accuracies (CMC AUC % (Cumulative Match Curve Area Under Curve)).
Barry Devereux (7387685), Brian Murphy (65605), Ben McCartney (7387679), Jesus Martinez-del-Rincon (7387682)   +3 more
core   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

The categorisation of the Short Warwick Edinburgh Mental Wellbeing Scale scores: an exploration from an epidemiological perspective

Frontiers in Psychiatry
BackgroundThere has been a notable increase in the utilisation of SWEMWBS as a measure of mental well-being globally. To enhance its interpretability for both healthcare professionals and laypeople, categorising SWEMWBS scores is considered beneficial ...
Lawrence T. Lam, Lawrence T. Lam, Lawrence T. Lam, Mary K. Lam   +3 more
doaj   +1 more source

Receiver Operating Curve indicating the area under curve (AUC) and the discriminative power of risk scores

, 2016
Receiver Operating Curve indicating the area under curve (AUC) and the discriminative power of risk ...
Satti Vishnupriya (473432), Kapadia Anuj (2816938), Rayabarapu Pranav Chand (2816932), Arramraju Sreenivas Kumar (2816935), Battini Mohan Reddy (399727)   +4 more
core   +1 more source

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L. De Jager   +7 more
wiley   +1 more source

Area under the curve (AUC) and C_max in glucose tolerance test.

, 2022
Area under the curve (AUC) and Cmax in glucose tolerance test.
Annalise Di Marco (8611002), Antonella Cellucci (2554975), Gianfranco Pasut (657272), Fabrizio Colaceci (10844138), Antonella Grigoletto (3239730), Ralph Laufer (2238340), Maria Rosaria Battista (6256052), Tommaso Tedeschini (12275362)   +7 more
core   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

ROC curve and the area under the curve (AUC) under different distributional assumptions for the Golub data.

, 2015
ROC curve and the area under the curve (AUC) under different distributional assumptions for the Golub data.
Mojtaba Ganjali (550736), Damon Berridge (729703), Taban Baghfalaki (667319)   +2 more
core   +1 more source