A Mining Method to Predict Patients DOSH

Management of hospital resources is a major and composite activity that can highly influence the work rate of the hospitals services. Mostly, resource management is needed when patients are hospitalized, as large amount of resources are under exhaustion at that specific time. Hence, predicting the number of days a patient stays at the hospital can help in organizing the hospital resources. In this paper we propose a prediction model that predicts the Duration of Stay at the Hospital (DOSH) by the patient. We used basic clustering and classification method for the prediction. In this methodology, hidden anomalies and deviations can be brought out which cannot be featured by applying basic clustering, that will give an efficient prediction outgrowth.