Application of neural networks and sensitivity analysis to improved prediction of trauma surviva
Comparison of the predicted survival score for the total dataset and each injury mechanism with the ...
Artificial neural networks are a powerful tool for analyzing data sets where there are complicated n...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
The performance of trauma departments is widely audited by applying predictive models that assess pr...
Trauma, a term used in medicine to describe a physical injury, is believed to be one of the major c...
choose treatment at Scene or a “scoop and run ” approach. The latter requires clinically trained per...
Background: In recent years, outcome prediction models using artificial neural network and multivari...
Trauma audit is intended to develop effective care for injured patients through process and outcome ...
Abstract. Complications during treatment of seriously injured trauma patients cause an increase in m...
Neural networks are increasingly being seen as an addition to the statistics toolkit which should be...
This paper demonstrates that neural nets have the capacity to 'mould' themselves to data s...
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge num...
The aim of this study is to design, develop and evaluate artificial intelligence and statistical tec...
Predicting the probable survival for a patient can be very challenging for many diseases. In many fo...
BackgroundTrauma has long been considered unpredictable. Artificial neural networks (ANN) have recen...
Comparison of the predicted survival score for the total dataset and each injury mechanism with the ...
Artificial neural networks are a powerful tool for analyzing data sets where there are complicated n...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
The performance of trauma departments is widely audited by applying predictive models that assess pr...
Trauma, a term used in medicine to describe a physical injury, is believed to be one of the major c...
choose treatment at Scene or a “scoop and run ” approach. The latter requires clinically trained per...
Background: In recent years, outcome prediction models using artificial neural network and multivari...
Trauma audit is intended to develop effective care for injured patients through process and outcome ...
Abstract. Complications during treatment of seriously injured trauma patients cause an increase in m...
Neural networks are increasingly being seen as an addition to the statistics toolkit which should be...
This paper demonstrates that neural nets have the capacity to 'mould' themselves to data s...
BACKGROUND: Exceptional circumstances like major incidents or natural disasters may cause a huge num...
The aim of this study is to design, develop and evaluate artificial intelligence and statistical tec...
Predicting the probable survival for a patient can be very challenging for many diseases. In many fo...
BackgroundTrauma has long been considered unpredictable. Artificial neural networks (ANN) have recen...
Comparison of the predicted survival score for the total dataset and each injury mechanism with the ...
Artificial neural networks are a powerful tool for analyzing data sets where there are complicated n...
We describe models for survival analysis which are based on a multi-layer perceptron, a type of neur...
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