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Development of a Hemodialysis Data Collection and Clinical Information System and Establishment of an Intradialytic Blood Pressure/Pulse Rate Predictive Model
Journal of Artificial Intelligence and Big Data
| Vol 5, Issue 2
Table 4. Summary of best performances for BP/PRprediction taskusing different inputfeatures inANN models (based on MAE).
| Features | Training loss | Validation loss | Test loss |
| Only four artery-related features | 10.12 | 11.02 | 11.23 |
| Three specific features, excluding any artery-related features | 12.98 | 14.75 | 14.43 |
| Eight features (including HPCV) | 13.51 | 12.45 | 12.41 |
| Seven features (w/o HPCV) | 10.32 | 11.60 | 11.71 |