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

Accuracy

Answer

Specificity

Answer

F1 Score

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

Logistic regression

Answer

K-means clustering

Answer

Decision tree

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 being transferred between EHR systems

Answer

Errors introduced during data entry

Answer

Unauthorized access to patient data

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

Bootstrapping

Answer

Oversampling

Answer

Cross-validation

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

Overfitting

Answer

Underfitting

Answer

Selection bias

Question 6

In predictive analytics, what is the purpose of a validation dataset distinct from the test dataset?

Accepted Answer

To tune hyperparameters without leaking test data information

Answer

To retrain the model with new data

Answer

To handle class imbalance

Answer

To remove outliers before training

Question 7

Which emerging trend involves using natural language processing to extract structured clinical information from physician notes for predictive modeling?

Accepted Answer

Clinical NLP / text mining

Answer

Computer vision for radiology

Answer

Federated learning

Answer

Reinforcement learning