Data Science by Memon Qurban A.; Khoja Shakeel Ahmed;

Author:Memon, Qurban A.; Khoja, Shakeel Ahmed;
Language: eng
Format: epub
Publisher: Taylor & Francis Group
Published: 2020-07-15T00:00:00+00:00

To overcome the imbalance problem, the bagging and oversampling techniques may be used.

Once the multicollinearity and imbalance have been removed, depending on the healthcare analytics goal, the analyst may choose to perform predictive or classification modeling.

7.3.3 STEP 3. PREDICT WHAT IS LIKELY TO HAPPEN; OR PERFORM CLASSIFICATION ANALYSIS

Healthcare analytics is about being proactive in decision-making. At this stage, the analyst will model the healthcare data using machine-learning techniques that include decision trees, neural networks, and logistic regression. These techniques will uncover insights and patterns that highlight relationships and “hidden evidences” of the most influential variables.

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