Abstract— In the present investigation, to characterize the tremendous measure of Care Life Log data that happens in nursing in one Hospital Long-term Health Care Facility by level of care required, data mining was completed. The trademark vocabulary from the Long-term Health Care Facility’s Care Life Log was utilized to coordinate and investigate the level of care required. There are five levels of care, with Level 1 vocabulary including entertainment, latrine, morning, evening, and so on. The level of care step by step increments from Level 1 to Level 5, which has vocabulary that incorporates tube, risk, treatment, expulsion, and revelation. The higher the level, the more regrettable the wellbeing condition and in this manner the more noteworthy care required. These levels take into account a reasonable investigation of a patient’s condition. This investigation has prompted a change in Quality of Life and also abatement in bungles between the level of care required for patients and the level of care given via caretakers. The nursing field requires productivity in social insurance administrations. Along these lines, change and constant data accumulation are essential. There is a requirement for the accumulation of data in general in the long haul working of medicinal services benefits and in addition expansive scale data collection. In the future, we expect to build up an EMR (Electronic Medical Record) that can be made semi-consequently as per the level of care required.
K GURNADHA GUPTA1, CH NARASIMHA CHARY2,A KRISHNA3
text data mining, care life log, KeyGraph, Electronic Medical Record.