scholarly journals Agile Design: A Combined Model Based on Design Thinking and Agile Methodologies for Digital Games Projects

2017 ◽  
Vol 08 (02) ◽  
pp. 109-126 ◽  
Author(s):  
Marcelo Makoto Higuchi ◽  
Davi Noboru Nakano
Keyword(s):  
Design Thinking ◽  
Digital Games ◽  
Combined Model ◽  
Model Based ◽  
Agile Methodologies ◽  
Agile Design

Direct determination of the concentration dependence of diffusivities using combined model-based Raman and NMR experiments

2009 ◽  
Vol 277 (2) ◽  
pp. 96-106 ◽  
Author(s):  
E. Kriesten ◽  
M.A. Voda ◽  
A. Bardow ◽  
V. Göke ◽  
F. Casanova ◽  
...  
Keyword(s):  
Concentration Dependence ◽  
Direct Determination ◽  
Combined Model ◽  
Model Based

A SVR–ANN combined model based on ensemble EMD for rainfall prediction

2018 ◽  
Vol 73 ◽  
pp. 874-883 ◽  
Author(s):  
Yu Xiang ◽  
Ling Gou ◽  
Lihua He ◽  
Shoulu Xia ◽  
Wenyong Wang
Keyword(s):  
Combined Model ◽  
Rainfall Prediction ◽  
Model Based

Radiomics Analysis Based on CT’s greater-omental caking for Predicting Pathological Grading of Pseudomyxoma Peritonei

2021 ◽  
Author(s):  
Nan Zhou ◽  
Ruixue Dou ◽  
Xichao Zhai ◽  
Jingyang Fang ◽  
Jiajun Wang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Pseudomyxoma Peritonei ◽  
Diagnostic Efficiency ◽  
Combined Model ◽  
Clinical Model ◽  
Model Based ◽  
Preoperative Serum ◽  
Imaging Observation ◽  
Omental Caking ◽  
The Impact

Abstract Purpose: The objective of this study was to predict the preoperative pathological grading and survival period of Pseudomyxoma peritonei (PMP) by establishing models, including a radiomics model with greater mental caking as the imaging observation index, a clinical model including clinical indexes, and a combination model of these two.Methods: A total of 88 PMP patients were selected. Clinical data of patients, including age, sex, preoperative serum tumor markers [CEA, CA125, and CA199], survival time, and preoperative computed tomography (CT) images were analyzed. Three models (clinical model, radiomics model and joint model) were used to predict PMP pathological grading. The models’ diagnostic efficiency was compared and analyzed by building the receiver operating characteristic (ROC) curve. Simultaneously, the impact of PMP’s different pathological grades was evaluated.Results: The results showed that the radiomics model based on the CT’s greater omental caking, an area under the ROC curve ([AUC] = 0.878), and the combined model (AUC = 0.899) had diagnostic power n for determining PMP pathological grade.Conclusion: The imaging radiomics model based on CT greater omental caking can be used to predict PMP pathological grade, which is important in the treatment selection method and prognosis assessment.

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