scholarly journals A Survey : Study of Data Mining and Data Warehousing in Healthcare

Author(s):  
Arvind Singh

Health care is one of the speedy growing areas. The Health care system contains large amount of medical data which should be mined from data warehouse. The mined data from data warehouse helps in finding the important information. Comprehensive amount of data in health care database need the growth of tools which can be used to access the data, analyze and analysis the data, discovery of knowledge, and versed use of the stored knowledge. The health care system has lot of data about the patient’s details, medications etc. In this paper we have studied different data mining and warehousing techniques used in healthcare areas.

Author(s):  
Subasish Mohapatra ◽  
Prashanta Kumar Patra ◽  
Subhadarshini Mohanty ◽  
Bhagyashree Pati

2018 ◽  
Vol 6 (1) ◽  
pp. e9 ◽  
Author(s):  
Amanda Nikolic ◽  
Nilmini Wickramasinghe ◽  
Damian Claydon-Platt ◽  
Vikram Balakrishnan ◽  
Philip Smart

2018 ◽  
Vol Special Issue (Special Issue-ICAEIT2017) ◽  
pp. 174-180
Author(s):  
Murugananthan Velayutham ◽  
Mia Torres-Dela Cruz ◽  

2017 ◽  
Author(s):  
Amanda Nikolic ◽  
Nilmini Wickramasinghe ◽  
Damian Claydon-Platt ◽  
Vikram Balakrishnan ◽  
Philip Smart

2021 ◽  
Vol 1 ◽  
Author(s):  
Lea Ettlin ◽  
Anne-Kathrin Rausch Osthoff ◽  
Irina Nast ◽  
Karin Niedermann

Objectives: The aim of this study was to assess the applicability of six OARSI (Osteoarthritis Research Society International) approved exercise and education programmes for the conservative management of knee osteoarthritis to the Swiss health care system.Methods: The RE-AIM framework was used in this cross-sectional survey study to analyse the characteristics of the six exercise and education programmes. A survey was developed based on the RE-AIM dimensions, “Reach, Effectiveness, Adoption, Implementation, and Maintenance,” for rating the applicability of the programmes (on a scale of 1 = “least applicable” to 10 = “most applicable”). Programme scores of ≥7 indicated applicability to the Swiss health care system. Nine selected physiotherapy experts for knee OA management in Switzerland were invited for the rating.Results: The six programmes were rated by six of the nine invited research experts with mean scores of between 5.9 and 9.45. Four programmes scored 7 or more. These four programmes all included supervised exercise sessions and education with the goal that the participants understand the diagnosis and the management of OA. The two lower rated programmes focused on exercise counselling or weight reduction.Conclusion: The programme with the highest scores consists of exercise and education and scored higher than 7 in all RE-AIM dimensions. Therefore, this programme is most applicable to the Swiss health care system as only a few adaptations would be needed for its successful implementation.


2018 ◽  
Author(s):  
Gang Luo ◽  
Peter Tarczy-Hornoch ◽  
Adam B Wilcox ◽  
E Sally Lee

BACKGROUND In the United States, health care is fragmented in numerous distinct health care systems including private, public, and federal organizations like private physician groups and academic medical centers. Many patients have their complete medical data scattered across these several health care systems, with no particular system having complete data on any of them. Several major data analysis tasks such as predictive modeling using historical data are considered impractical on incomplete data. OBJECTIVE Our objective was to find a way to enable these analysis tasks for a health care system with incomplete data on many of its patients. METHODS This study presents, to the best of our knowledge, the first method to use a geographic constraint to identify a reasonably large subset of patients who tend to receive most of their care from a given health care system. A data analysis task needing relatively complete data can be conducted on this subset of patients. We demonstrated our method using data from the University of Washington Medicine (UWM) and PreManage data covering the use of all hospitals in Washington State. We compared 10 candidate constraints to optimize the solution. RESULTS For UWM, the best constraint is that the patient has a UWM primary care physician and lives within 5 miles of at least one UWM hospital. About 16.01% (55,707/348,054) of UWM patients satisfied this constraint. Around 69.38% (10,501/15,135) of their inpatient stays and emergency department visits occurred within UWM in the following 6 months, more than double the corresponding percentage for all UWM patients. CONCLUSIONS Our method can identify a reasonably large subset of patients who tend to receive most of their care from UWM. This enables several major analysis tasks on incomplete medical data that were previously deemed infeasible.


2020 ◽  
Vol 5 (4) ◽  
pp. 258-264
Author(s):  
Mst Farzana Akter ◽  
Tanjila Islam ◽  
Kaniz Fatema Trisha ◽  
Mohammad Ohid Ullah

Recently using information technology in the health care system is an important issue. Medical informatics is the combination of information science, computer science, and health care. As population is increasing rapidly, it is obvious to use medical informatics to save human lives and to treat people in efficient way. Therefore, we tried to explore an overview of the necessities and practical uses of data mining in administrative, clinical, research as well as educational aspects of medical informatics in Bangladesh. It is one the most populous countries in the world and the health care system including data mining in medical informatics is not so handy. Besides, for the effect of monsoon weather people of this country are affected by various diseases but poor investment and weak implementation make these diseases a burden. The study focuses on the needs of clinical data warehousing and the practice of examining these databases in order to improve various aspects of medical informatics in Bangladesh. The study suggests that government and private health care organizations need to take account to store their data and create a research wing in every hospital in Bangladesh as well as other developing countries in the world so that researchers and doctors may be able to find out the solution of their problems. For the greater benefits of the people, more research on medical informatics is essential and implementation of the research outputs must be done in medical treatment. Asian J. Med. Biol. Res. June 2019, 5(4): 258-264


2019 ◽  
Vol 19 (2) ◽  
pp. 113-128
Author(s):  
Marcin Jacek Jabłoński ◽  
◽  
Maciej Matuszczyk ◽  
Marzena Samardakiewicz ◽  
◽  
...  

Sign in / Sign up

Export Citation Format

Share Document