EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI) TO PREDICT SEPSIS IN ICU USING ELECTRONIC HEALTH RECORDS
Sepsis early identification is pivotal for improving its management outcomes. Machine learning (ML) has the potential to predict sepsis automatically. However, clinicians don’t fully trust prediction results from ML. Explainable Artificial Intelligence (XAI) serves as a bridge to build clinicians’ t...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/80978 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |