Predicting outcomes is not without challenges. Some of the common challenges include:
- Data Quality: Inaccurate or incomplete data can lead to incorrect predictions. - Complexity of Patient Conditions: Multiple comorbidities can complicate predictions. - Rapid Changes in Patient Status: Patients' conditions can change quickly, making it difficult to predict outcomes accurately. - Limited Resources: Lack of access to advanced predictive tools can hinder accurate predictions.
