Predicting HA-AKI with ML: Challenges and Limitations

Predicting serious kidney damage acquired in hospitals is a challenging task for machine learning (ML). 

Accurate forecasts are still difficult to come by notwithstanding progress.

Title 1The difficulty of prediction is increased by the complexity of renal damage. 

Quality and paucity of data also impair ML performance. 

Scientists are looking for ways to make prediction models better.