Potential of Reducing Crop Insurance Subsidy Based on Willingness to Pay and Random Forest Analysis

Author(s):  
Rahma Anisa ◽  
Dian Kusumaningrum ◽  
Valantino Agus Sutomo ◽  
Ken Seng Tan
2021 ◽  
Vol 292 ◽  
pp. 123467
Author(s):  
You Zhan ◽  
Joshua Qiang Li ◽  
Cheng Liu ◽  
Kelvin C.P. Wang ◽  
Dominique M. Pittenger ◽  
...  

2013 ◽  
Vol 23 (suppl_1) ◽  
Author(s):  
N Kanerva ◽  
M Erkkola ◽  
J Nevalainen ◽  
S Männistö

2020 ◽  
Vol 108 ◽  
pp. 106001 ◽  
Author(s):  
Ka-Lung Lam ◽  
Wai-Yin Cheng ◽  
Yuting Su ◽  
Xiaojie Li ◽  
Xiyang Wu ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Gülen Yerlikaya ◽  
Veronica Falcone ◽  
Tina Stopp ◽  
Martina Mittlböck ◽  
Andrea Tura ◽  
...  

The aim of this study was to assess the association between OGTT glucose levels and requirement of pharmacotherapy in GDM patients classified by the IADPSG criteria. This study included 203 GDM patients (108 managed with lifestyle modification and 95 requiring pharmacotherapy). Clinical risk factors and OGTT glucose concentrations at 0 (G0), 60 (G60), and 120 min (G120) were collected. OGTT glucose levels were significantly associated with the later requirement of pharmacotherapy (ROC-AUC: 71.1, 95% CI: 63.8–78.3). Also, the combination of clinical risk factors (age, BMI, parity, and pharmacotherapy in previous gestation) showed an acceptable predictive accuracy (ROC-AUC: 72.1, 95% CI: 65.0–79.2), which was further improved when glycemic parameters were added (ROC-AUC: 77.5, 95% CI: 71.5–83.9). Random forest analysis revealed the highest variable importance for G0, G60, and age. OGTT glucose measures in addition to clinical risk factors showed promising properties for risk stratification in GDM patients classified by the recently established IADPSG criteria.


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