• Dr.V.Sulochana
• Uthra.M

Reducing the incidence of medical errors is an ongoing area of interest to the health care community. Much of the focus in recent work has been on reducing errors of commission (inappropriate actions), such as amputating the wrong limb. Less attention has been given to errors of omission (i.e., failure to act when patients are not at evidence-based goals), a particular area of interest in the treatment of chronic diseases, such as diabetes. Two major challenges in preventing errors of omission are identifying patterns of behavior that predict future errors and determining appropriate actions to take to prevent errors when error-prone behavior patterns are identified. Such actions might include changing the way individual physicians manage patients and matching physicians’ abilities to patients with characteristics they are most successful in treating. The health care community is placing greater emphasis on the use of data sources to improve the quality of care delivered to patients. Available data sources include administrative and clinical records, particularly with the advent of the electronic medical record (EMR). However, extracting meaningful information from large databases is a challenging task. Data mining, the extraction of useful and potentially actionable information from data, has been identified as a tool for culling health care databases for information to improve the quality of care. The majority of recent data mining research directed toward improving quality of care has focused on detecting outcomes associated with patient/illness characteristics. Less work has directly examined outcomes and physician actions.

Disease prediction ,Data mining, Naive Bayesian classifier, Predictive modeling ,Health informatics ,Medical data analysis

"PREDICTING DISEASE USING DATA MINING BASED ON NAIVE BAYESIAN CLASSIFIER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.a784-a788, April-2024, Available :http://www.jetir.org/papers/JETIR2404099.pdf

"PREDICTING DISEASE USING DATA MINING BASED ON NAIVE BAYESIAN CLASSIFIER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppa784-a788, April-2024, Available at : http://www.jetir.org/papers/JETIR2404099.pdf