Performance of the deep learning model for predicting 3 year stroke occurrence in (A) testing dataset 1 and (B) testing dataset 2.</p
Stroke is one of the leading causes of mortality and disability worldwide, causing individual hardsh...
Stroke is a major cause of disability and mortality in most economically developed countries. It is ...
Abstract Background As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a f...
Sensitivity and specificity of the DNN model for predicting 3 year stroke occurrence in different te...
BackgroundIntelligent decision support systems (IDSS) have been applied to tasks of disease manageme...
BackgroundIntelligent decision support systems (IDSS) have been applied to tasks of disease manageme...
Performance of currently available stroke risk assessment scores and the deep learning model.</p
© Springer International Publishing AG 2017. Many predictive techniques have been widely applied in ...
Abstract: Due to rapid changing in human lifestyles, a set of biological factors of human lives has ...
Aim: To use available electronic administrative records to identify data reliability, predict discha...
Stroke is the fifth leading cause of death in the United States, with approximately 795,000 new case...
Stroke and cerebral haemorrhage are the second leading causes of death in the world after ischaemic ...
The increase in stroke incidence with the aging of the Korean population will rapidly impose an econ...
Applying deep learning models to MRI scans of acute stroke patients to extract features that are ind...
ObjectivesCardiovascular disease (CVD) is one of the major causes of death worldwide. For improved a...
Stroke is one of the leading causes of mortality and disability worldwide, causing individual hardsh...
Stroke is a major cause of disability and mortality in most economically developed countries. It is ...
Abstract Background As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a f...
Sensitivity and specificity of the DNN model for predicting 3 year stroke occurrence in different te...
BackgroundIntelligent decision support systems (IDSS) have been applied to tasks of disease manageme...
BackgroundIntelligent decision support systems (IDSS) have been applied to tasks of disease manageme...
Performance of currently available stroke risk assessment scores and the deep learning model.</p
© Springer International Publishing AG 2017. Many predictive techniques have been widely applied in ...
Abstract: Due to rapid changing in human lifestyles, a set of biological factors of human lives has ...
Aim: To use available electronic administrative records to identify data reliability, predict discha...
Stroke is the fifth leading cause of death in the United States, with approximately 795,000 new case...
Stroke and cerebral haemorrhage are the second leading causes of death in the world after ischaemic ...
The increase in stroke incidence with the aging of the Korean population will rapidly impose an econ...
Applying deep learning models to MRI scans of acute stroke patients to extract features that are ind...
ObjectivesCardiovascular disease (CVD) is one of the major causes of death worldwide. For improved a...
Stroke is one of the leading causes of mortality and disability worldwide, causing individual hardsh...
Stroke is a major cause of disability and mortality in most economically developed countries. It is ...
Abstract Background As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a f...
DOI
Add to ORKG