On the use of reminder systems in healthcare

Hasman, Arie; Bindels, Rianne; Clercq, Patrick De

doi:10.1109/eurmic.2000.874612

Cited by 1 publication

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result of this hospitals are able to allocate resources more effectively. [6] One of the applications of data mining can be for example, a hospital can take necessary actions before patient quit their treatment, or to efficiently assign resources with an accurate estimate of how many male or female will register for a particular disease by using the Prediction techniques.…”

Section: B Predicting the Registration Of Patients In An Hospitalmentioning

confidence: 99%

“…[6] Over the years, many researchers applied various data mining techniques to answer this question.…”

Section: Predicting Patients Response Against Medicinementioning

confidence: 99%

“…A doctor can assess the condition of patient by conducting an online discussion among a group of patients and use the possible indicators such as the time difference between medicine taken and time of response to the medicine etc. [6] With the help of this data, we can apply classification algorithms to classify the patients into possible levels of grading.…”

Section: Predicting Patients Response Against Medicinementioning

confidence: 99%

See 2 more Smart Citations

An Empirical Study of the Applications of Web Mining Techniques in Health Care

Kumar¹,

Ahmed²

2011

IJACSA

View full text Add to dashboard Cite

Abstract-Few years ago, the information flow in health care field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. There has already been a long standing tradition for computer-based decision support, dealing with complex problems in medicine such as diagnosing disease, managerial decisions and assisting in the prescription of appropriate treatment. Today, one of the biggest challenges that health care system, face is the explosive growth of data, use this data to improve the quality of managerial decisions. Web mining and Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of web mining and data mining in health care management system to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples. Further we propose the IDSS model for the health care so that exact and accurate decision can be taken for the removal of a particular disease.

show abstract

Section: B Predicting the Registration Of Patients In An Hospitalmentioning

confidence: 99%

“…[6] Over the years, many researchers applied various data mining techniques to answer this question.…”

Section: Predicting Patients Response Against Medicinementioning

confidence: 99%

Section: Predicting Patients Response Against Medicinementioning

confidence: 99%

See 1 more Smart Citation