AIF-C01 · Question #290
A healthcare company is building an AI solution to predict patient readmission within 30 days of patient discharge. The company has trained a model on historical patient data including medical…
The correct answer is D. Use a trained model to predict patient readmission. Model inference refers to the process of applying a trained model to new data-in this case, using the trained model to make real-time predictions about whether a patient will be readmitted within 30 days of discharge.
Question
A healthcare company is building an AI solution to predict patient readmission within 30 days of patient discharge. The company has trained a model on historical patient data including medical history, demographics, and treatment specifications, to provide readmission predictions in real time. Which task describes AI model inference in this scenario?
Options
- AGather historical patient readmission data.
- BUse appropriate metrics and assess model performance.
- CUse data to identify patient patterns and correlations.
- DUse a trained model to predict patient readmission.
How the community answered
(21 responses)- A5% (1)
- B10% (2)
- C14% (3)
- D71% (15)
Explanation
Model inference refers to the process of applying a trained model to new data-in this case, using the trained model to make real-time predictions about whether a patient will be readmitted within 30 days of discharge.
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