Results 31 to 40 of about 8,729,244 (299)

Visual Monitoring of Fatty Acid Degradation during Green Tea Storage by Hyperspectral Imaging

Foods, 2023
The reduction in freshness during green tea storage leads to a reduction in its commercial value and consumer acceptance, which is thought to be related to the oxidation of fatty acids.
Yiyi Zhang, Lunfang Huang, Guojian Deng, Yujie Wang   +3 more
doaj   +1 more source

Comparing the performance of market-based and accounting-based bankruptcy prediction models [PDF]

, 2008
Recently developed corporate bankruptcy prediction models adopt a contingent claims valuation approach. However, despite their theoretical appeal, tests of their performance compared with traditional simple accounting-ratio-based approaches are limited ...
Agarwal, Vineet, Taffler, Richard, Taffler, Richard J., Sarmiento, Camilo   +3 more
core   +1 more source

Reliability and validity in comparative studies of software prediction models [PDF]

, 2005
Empirical studies on software prediction models do not converge with respect to the question "which prediction model is best?" The reason for this lack of convergence is poorly understood.
I. Myrtveit, E. Stensrud, Myrtveit, I, Shepperd, MJ, Stensrud, E, M. Shepperd   +5 more
core   +2 more sources

Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved. [PDF]

, 2021
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using machine learning methods in the field of oncology. STUDY DESIGN AND SETTING: We conducted a systematic review, searching the MEDLINE and Embase databases ...

core   +1 more source

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Frontiers in Medicine
BackgroundDiabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models.
Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li   +5 more
doaj   +1 more source

A Daily Reference Crop Evapotranspiration Forecasting Model Based on Improved Informer

Agriculture
Daily reference crop evapotranspiration (ET0) is crucial for precision irrigation management, yet traditional prediction methods struggle to capture its dynamic variations due to the complexity and nonlinearity of meteorological conditions.
Junrui Pan, Long Yu, Bo Zhou, Junhong Zhao   +3 more
doaj   +1 more source

Prediction Models for AKI in ICU: A Comparative Study

International Journal of General Medicine, 2021
Qing Qian, 1, 2 Jinming Wu, 2 Jiayang Wang, 2 Haixia Sun, 2 Lei Yang 1 1Hangzhou Normal University, Hangzhou, People’s Republic of China; 2Institute of Medical Information & Library, Chinese Academy of Medical Sciences & Peking Union ...
Qian Q, Wu J, Wang J, Sun H, Yang L
doaj  

External Validation of International Risk-Prediction Models of IgA Nephropathy in an Asian-Caucasian Cohort

Kidney International Reports, 2020
Introduction: Two prediction models for IgA nephropathy (IgAN) using clinical variables and the Oxford MEST scores were developed and validated in 2 multiethnic cohorts. Additional external validation is required.
Yuemiao Zhang, Ling Guo, Zi Wang, Jinwei Wang, Lee Er, Sean J. Barbour, Hernan Trimarchi, Jicheng Lv, Hong Zhang   +8 more
doaj   +1 more source

Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions [PDF]

, 2008
Boosting is one of the most important methods for fitting regression models and building prediction rules from high-dimensional data. A notable feature of boosting is that the technique has a built-in mechanism for shrinking coefficient estimates and
Potapov, Sergej, Pfahlberg, Annette, Hothorn, Torsten, Schmid, Matthias   +3 more
core   +1 more source

Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICUTake-Home Points

CHEST Critical Care
Background: Mortality prediction models have been developed for patients in the ICU, but infrequently are targeted for specific conditions. Because ARDS is characterized by high morbidity and mortality, ARDS-specific models for outcome prediction could ...
Katrijn Daenen, MD, Sara C.M. Stoof, MD, PhD, Hugo van Willigen, MD, Anders Boyd, PhD, Virgil A.S.H. Dalm, MD, PhD, Diederik A.M.P.J. Gommers, MD, PhD, Eric C.M. van Gorp, MD, PhD, Abraham J. Valkenburg, MD, PhD, Henrik Endeman, MD, PhD, Jilske A. Huijben, MD, PhD   +9 more
doaj   +1 more source