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Main big data applications in the medical industry are the patient’s predictions. The prediction of anticipated number of patient’s visits to emergency will improve the staffing and provide a way to utilize the resources of the hospital properly. One of the major problems in hospitals is staffing, that is how many people (doctor, nurse, and other workers) are required at any given time period. Big data is used to solve this problem.

Intel and the Assistance Publique-Hôpitaux de Paris (AP-HP) worked toward developing a cloud based system for predicting the anticipated amount of patient’s visits [3]. The overcrowding is an emerging problem in most of the hospitals. The cloud based big data analytics system will predict the patient visits and the admissions of patients in hospitals as inpatient or in emergency ward. These solutions make it simple for the hospital administration to productively use the resources (staff, beds, etc.) of the hospitals. The advantages of patient’s prediction are improved patient services, reduced wait time, and reduced labor costs, and this will lead to better care with lower cost for patients.