Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques

Patient Data Sensing and Clinical Records

Initially, supporting increasing potential patients in hospitals or care centers requires remote monitoring of patients as a solution, which in turn leads to difficulty in handling challenges of big data i.e. volume, velocity, variety, veracity etc. Also the full cycle of this huge data (i.e. capturing, gathering, clearing, transforming, formats, storing, analyzing and visualizing) for some patients should be covered in real time. Another data source that caters for data diversity and variety is the patient’s clinical records. In all cases, data is made available for access, for all teams of doctors, nurses, administrators and social agents. So the technologies other than Hadoop like batch processing should be considered as better solutions.