Patient Segmentation Using Data Mining Techniques

1. Patient Segmentation Using Data Mining Techniques Patient Segmentation & Quality Patient Care Segmentation is the standard technique used in various sectors, to understand their customers for better customer service, defining the behavioral and descriptive profiles of the customers, therefore used to provide customized marketing programs and strategies. Patients are similar to customers in healthcare. This segmentation will benefit the healthcare providers, for the following reasons: •Customization of the patient care •Stronger patient engagement •Providing data-driven decisions •Advanced medical research Data Mining for Patient Segmentation Here a segmentation or clustering algorithm repeats over cases to group them into clusters with similar characteristics, which are useful for exploring data, identifying anomalies, and creating predictions. To determine the number of clusters for the algorithm, we can use a plot of the within cluster’s sum of squares, by the number of clusters extracted. The appropriate number of clusters to use is at the bend or ‘elbow’ of the plot, this elbow method is one of the most popular methods. K-Means Algorithm in Rhodium Platform Rhodium Platform, helps healthcare providers with Patient Data Management and Patient Data Sharing. Implementation of Patient Segmentation using K-Means algorithm and in a real scenario consulting healthcare experts help in identifying the correct attributes for clustering.

2. To prepare the data for clustering patients: •Measure the glycated form of hemoglobin to obtain blood sugar rate •Fasting Plasma Glucose test, for measuring glucose levels present in the blood • Blood Pressure test relates to the heartbeat •The diastolic reading is the pressure in the arteries in between the heartbeats •Insulin helps to remove blood sugar, from bloodstream into cells •Cholesterol testing measures the LDL-C present in the blood •Weight testing indicates the heaviness of the patient AI will play a major role in future healthcare data management and decision making and data mining algorithms, thus improving the quality of patient care. Read the entire blog by the leading IT infrastructure managed services provider in the USA, GAVS Technologies. – https://www.gavstech.com/patient- segmentation-using-data-mining-techniques/