Results 21 to 30 of about 128,871,322 (303)

Incremental Area Under the Curve

, 2022
RStudio script to calculate various types of areas under the curve as outlined in Brouns, F., Bjorck, I., Frayn, K.N., Gibbs, A.L., Lang, V., Slama, G. and Wolever, T.M.S.
Lacey, Seán
core   +1 more source

Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.

, 2022
Area-under-the-curve (AUC) scores of learning methods on ChestX-ray14.
Le Trieu Phong (13184011)
core   +1 more source

Area-under-the-curve (AUC) scores of learning methods on MRI datasets.

, 2022
Area-under-the-curve (AUC) scores of learning methods on MRI datasets.
Le Trieu Phong (13184011)
core   +1 more source

Comparison of area-under-the-curve (AUC) scores.

, 2022
Comparison of area-under-the-curve (AUC) scores.
Le Trieu Phong (13184011)
core   +1 more source

Comparison between P-POSSUM and NELA risk score for patients undergoing emergency laparotomy in Egyptian patients

BMC Surgery, 2023
Background and aims The Portsmouth-Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity (P-POSSUM) is one of the scores that is used most frequently for determining the likelihood of mortality in patients undergoing ...
Mahmoud Magdy Alabbasy, Alaa Abd Elazim Elsisy, Adel Mahmoud, Saad Soliman Alhanafy   +3 more
doaj   +1 more source

Performance of Population Pharmacokinetic Models in Predicting Polymyxin B Exposures

Microorganisms, 2020
Polymyxin B is the last line of defense in treating multidrug-resistant gram-negative bacterial infections. Dosing of polymyxin B is currently based on total body weight, and a substantial intersubject variability has been reported.
Vincent H. Tam, Lawrence S. Lee, Tat-Ming Ng, Tze-Peng Lim, Benjamin P. Z. Cherng, Hafeez Adewusi, Kim H. Hee, Ying Ding, Shimin Jasmine Chung, Li-Min Ling, Piotr Chlebicki, Andrea L. H. Kwa, David C. Lye   +12 more
doaj   +1 more source

Area-under-the-curve of tUS traces.

, 2022
Level of EMG activity during different sections of tUS trials. Left) Baseline, -200 to -50 ms before onset. Right) 0 to 150 ms after tUS onset (first 150 ms of tUS exposure). Values were normalized via dividing by the trial mean. (PDF)
Tiffany K. Fan (12436762), Andrew C. Charles (12436771), Ian S. Heimbuch (12436759), Allan D. Wu (12436765), Marco Iacoboni (34305), Guido C. Faas (12436768)   +5 more
core   +1 more source

Area under the curve.

, 2019
Area under the curve.
Caroline H. G. Bastiaenen (6250778), Ruud H. Knols (5040227), Pierrette Baschung Pfister (5040224), Britta Maurer (4048951), Eling D. de Bruin (822049)   +4 more
core   +2 more sources

Simple tuberculosis screening tool using signs, symptoms, and risk factors to reduce the missed opportunity in the older population

BMC Pulmonary Medicine, 2022
Background There is a growing concern on how to increase tuberculosis (TB) case detection in resource-poor settings. The healthcare facilities routinely providing services to the elderly for chronic diseases often failed to detect TB cases, causing a ...
Agus Hidayat, Bhisma Murti, Soedarsono Soedarsono, Harsini, Chatarina Umbul Wahyuni, Isna Qodrijati   +5 more
doaj   +1 more source

Assessing the precision of machine learning for diagnosing pulmonary arterial hypertension: a systematic review and meta-analysis of diagnostic accuracy studies

Frontiers in Cardiovascular Medicine
IntroductionPulmonary arterial hypertension (PAH) is a severe cardiovascular condition characterized by pulmonary vascular remodeling, increased resistance to blood flow, and eventual right heart failure.
Akbar Fadilah, Valerinna Yogibuana Swastika Putri, Imke Maria Del Rosario Puling, Sebastian Emmanuel Willyanto   +3 more
doaj   +1 more source