HAC Healthcare Analytics Predictive Analytics & Trends 2

Question 1

Which evaluation metric is most appropriate for a predictive model identifying rare hospital-acquired infections where false negatives are especially costly?

Accepted Answer

Recall (Sensitivity)

Answer

Recall maximizes detection of true positive cases, minimizing false negatives, which is critical when missing an infection has severe consequences.

Question 2

A healthcare organization wants to forecast ICU bed demand 30 days in advance. Which modeling approach is best suited for this time-series forecasting task?

Accepted Answer

ARIMA

Answer

ARIMA (AutoRegressive Integrated Moving Average) is specifically designed for time-series forecasting, capturing temporal patterns in sequential data.

Question 3

What does the term 'data drift' mean in the context of deployed predictive models in healthcare?

Accepted Answer

A shift in the statistical properties of input data over time

Answer

Data drift occurs when the statistical distribution of model input data changes over time, causing model performance to degrade.

Question 4

Which technique is used to identify which features most influence a predictive model's output, improving interpretability in clinical settings?

Accepted Answer

SHAP (SHapley Additive exPlanations)

Answer

SHAP values quantify each feature's contribution to individual predictions, making complex models more interpretable to clinicians.

Question 5

A predictive readmission model trained on data from urban hospitals is deployed in a rural hospital and performs poorly. This is an example of:

Accepted Answer

Generalizability failure

Answer

Generalizability failure occurs when a model trained on one population performs poorly on a different population with distinct characteristics.

(HAC) Healthcare Analytics Certification Practice Test

(HAC) Healthcare Analytics Certification Practice Test

HAC Healthcare Analytics Predictive Analytics & Trends 2