Sentence examples for better tool to predict from inspiring English sources

Application of this technology will provide gas reservoir engineers a better tool to predict well and fracture productivity, besides optimizing transverse hydraulic fractures configuration and conductivity along the lateral wellbore.

With the emergence of the ANN model with randomized data stratification as a better tool to predict the flexural strength of RC beams, we further analyze the degree of correlation of the prediction results of the ANN models with experimental values.

In the studied population, SAPS 2 is a better tool to predict mortality than APACHE II.

The main purpose of the criteria developers was to give the clinicians a better tool to predict the risk for the development of type 2 diabetes and to prevent CV complications.

The lower rigidity of soaked roasted almonds than soaked raw almonds had a good correlation with the higher rate of disintegration in the roasted almonds, indicating that rigidity of soaked almonds might be a better tool to predict gastric disintegration rate of almonds.

Further studies into this under-researched field are currently underway and there are many opportunities to develop better tools to predict AVF outcomes.

In this regard, as well as the requirement for less toxic and more effective treatments, there is a clear need for better tools to predict an individual's tumour response and their ability to tolerate therapy.

As BC show heterogeneous clinical behavior highlighted by frequent recurrences in patients with noninvasive tumors and the potential for development of metastatic disease in those with invasive lesions, better tools to predict prognosis and refine treatment are needed.

The increasing recognition of poor intermediate and long-term outcomes of critical illness - including not only survival, but also functional status, institutionalization and quality of life - coupled with the huge financial cost of critical care therapy means that better tools to predict those patients who will benefit most from critical care treatment are urgently needed [ 24].

This study has provided an innovative model for predicting LoS enabling better planning of resources and has also been applied as a decision support tool to predict an individual patient's LoS.

Having a tool to predict these variations is of practical and theoretical interest for a better management of the complex chemical and physical phenomena.