This exploratory analysis examines patient data across Canada for presence of heart disease and correlations with other risk factors. Along with an embedded TIBCO Data Science workflow, it determines top predictors for heart disease from the given data set. Advanced location analytics used in tandem with unsupervised machine learning techniques render Voronoi polygon visualizations prescribing ideal clinic locations, calculating new sectors instantly on-the-fly and offering geographic centers of newly drawn districts—with a single click.
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