Skip to main content

Table 3 Prediction ability of the nephrologists compared to ANNs

From: Would artificial neural networks implemented in clinical wards help nephrologists in predicting epoetin responsiveness?

 

Nephrologists

ANN

Mean absolute error

0.24

-0.02

SD

0.8972

0.8184

CRMSE

0.9279

0.8186

LA

-1.5577

-1.6519

 

2.0311

1.6218

95%CI bias

0.1310

-0.1115

 

0.3424

0.0814

95% CI lower

-1.7408

-1.8189

 

-1.3746

-1.4849

95% CI upper

1.8480

1.4548

 

2.2142

1.7889

NMSE

0.8020

0.6239

r Pearson

0.5337

0.6135

r /NMSE

0.6654

0.9831

  1. Accuracy expressed by the Combined Root Mean Square Error (CRMSE) and agreement expressed by the "limits of agreement" (LA), the "95% confidence interval for the bias" (95% CI bias), the "95% confidence interval for the lower (95% CI lower) and upper (95% CI upper) limits of agreement", the Normalized Mean Squared Error (NMSE), the Pearson linear correlation r and the r/NMSE ratio in the prediction of the haemoglobin one month later.