All models represented supervised learning models with a known output. The four models of the ANN were dynamic network, prune network, the multilayer perceptron, and the radial basis function network.
The main challenge for its implementation was that data needed to be cleaned so the data mining process can easily retrieve these data and process them according to the required use. All abnormalities needed to be eliminated since the outcome would have been impacted by invalid or erroneous information.
The result of the business intelligence implementation was successful and the VHA could reach their goal of reducing the length of stay for each patient where necessary. Also a better productivity and a more efficient care program for their patients was a result of this implementation.
As this case has shown the use of new technologies in conjunction with new ways of analyzing, modifying, and implementing...
Lack of accountability, transparency and integrity, ineffectiveness, inefficiency and unresponsiveness to human development remain problematic (UNDP). Poverty remains endemic in most Gulf States with health care and opportunities for quality education poor or unavailable, degraded habitats including urban pollution and poor soil conditions from inappropriate farming practices. Social safety nets are also entirely inadequate and all form part of the nexus of poverty that is widely prevalent in Gulf countries.
2001, p.160). Results also indicated that patients between the ages of forty-six and sixty-four incurred significantly larger financial losses for the facility than the rest of the patients and Medicare and Medicaid nonexempt patients admitted via routine admission had the highest average loss for inpatient visits. Also, on Tuesdays, the average loss per patient was significantly greater for patients in the region. Only with data-mining could such an apparently insignificant
Data Mining in Health Care Data mining has been used both intensively and extensively in many organizations.in the healthcare industry data mining is increasingly becoming popular if not essential. Data mining applications are beneficial to all parties that are involved in the healthcare industry including care providers, HealthCare organizations, patients, insurers and researchers (Kirby, Flick,.&Kerstingt, 2010). Benefits of using data mining in health care Care providers can make use of data analysis in
Healthcare Case Study Schuylkill County, PA County Overview - Schuylkill County, Pennsylvania is located in the heart of the anthracite Coal region of Pennsylvania where the Schuylkill River originates. Pottsville is the county seat, and the county showed a population of just under 150,000 as of 2010 with a density of 190 persons per square mile. The total area of the county is 782 square miles, almost all land, less than
Stated to be barriers in the current environment and responsible for the reporting that is inadequate in relation to medical errors are: Lack of a common understanding about errors among health care professionals Physicians generally think of errors as individual that resulted from patient morbidity or mortality. Physicians report errors in medical records that have in turn been ignored by researchers. Interestingly errors in medication occur in almost 1 of every 5 doses
Data Mining Businesses can receive many benefits from data mining. Which benefits they receive, however, can also depend on the way in which their data mining is undertaken. Predictive analytics are used to understand customer behavior, and businesses use the behavior of the customer in the past to attempt to determine what the customer will do in the future (Cabena, et al., 1997). While it is not an exact science, many
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