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The philosophy behind it is an easy to use model with a robust output and a manageable amount of required input parameters.
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This will allow us to better identify the most suitable, accurate, cheapest, and easiest to use model to predict outcome.
This will enable identification of the most suitable, accurate, cheapest, and easiest to use model to predict outcome.
These reasons led us to revise and update the RISC score, with the aim to establish a more accurate, up-to-date, and easier to use model for risk of death estimation in severely injured patients.
Herein is proposed an easy-to-use model, the Tempo-Spatial Feature Evolution (T-SFE) model, designed to improve land cover classification using historical remotely sensed data and ground cover maps obtained at later times.
We have used a selection of theories and analytical concepts from four different disciplines - Social Anthropology, Sociology, Science and Technology studies, and the History of Technology - to compile an easy-to-use model for approaching some essential social aspects of energy implementation.
Based on the results, the GA-PLCIS can be taken into account as a practical and easy-to-use model with high accuracy predicting performance, which is highly helpful for engineers to monitor the precise results under different conditions, even in the challenging situations such as low mass fluxes and low qualities.
The findings result in an easy-to-use model for predicting the survival time.
The complex yet easy-to-use model presented in this paper opens the debate on current and future policy to any stakeholder.
To define an easy-to-use model for prediction of survival time in patients with unresectable pancreatic cancer in order to optimise patient' care.
An easy-to-use model for prediction of survival in unresectable pancreatic neoplasm is therefore proposed, which discriminates survival better than predictions based on only tumour size, the presence of liver metastases or performance status to decide treatment with chemotherapy.
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