Data Mining Research Paper:
A data mining approach in home healthcare: outcomes and service use
Abstract
Background
The purpose of this research is to understand the performance of home healthcare practice in the US. The relationships between home healthcare patient factors and agency characteristics are not well understood. In particular, discharge destination and length of stay have not been studied using a data mining approach which may provide insights not obtained through traditional statistical analyses.
Methods
The data were obtained from the 2000 National Home and Hospice Care Survey data for three specific conditions (chronic obstructive pulmonary disease, heart failure and hip replacement), representing nearly 580 patients from across the US. The data mining approach used was CART (Classification and Regression Trees). Our aim was twofold: 1) determining the drivers of home healthcare service outcomes (discharge destination and length of stay) and 2) examining the applicability of induction through data mining to home healthcare data.
Results
Patient age (85 and older) was a driving force in discharge destination and length of stay for all three conditions. There were also impacts from the type of agency, type of payment, and ethnicity.
Conclusion
Patients over 85 years of age experience differential outcomes depending on the condition. There are also differential effects related to agency type by condition although length of stay was generally lower for hospital-based agencies. The CART procedure was sufficiently accurate in correctly classifying patients in all three conditions which suggests continuing utility in home health care.
A research paper on data mining in health care sector by Elizabeth A Madigan and Olivier Louis Curet. Both of the Frances Payne Bolton School of Nursing, Case Western Reserve University, USA.
The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1472-6963/6/18
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An essay paper on medicinal plant:
Title: Protected cultivation of ASHWAGANDHA (Withamia semnifera) crop (2006).
by Swati Dindorkar* and Suchita Gupta
Country: India
* Corresponding author
Abstract:
At Nagarjuna Medicinal Plant Garden, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, an experiment was conducted during 11th October to 22nd March, 2006. Modified Quonset type structure of 17 m x 4m i.e. Nethouse covered with 50% shade and one Polyhouse with fan pad cooling system and one open field was used for experimentation. Ashwagandha (Withamia semnifera) crop was selected for this study considering its massive substance and medicinal worth. The magnetically treated seeds were manually sown in each plot on 11.10.2005. Magnetic treatment was given by putting two samples on North Pole magnet and South Pole magnet and one sample of seeds was revolved in rotary magnetic seed treator for 20 minutes and the fourth sample was kept untreated. In the experimentation, environmental parameters like temperature, relative humidity and light intensity alongwith biometric characteristics of the plant were inspected. Yield performance in nethouse, polyhouse and open field was evaluated.
Keywords: ASHWAGANDHA, Withamia semnifera, protected cultivation, Nethouse, medicinal plant, greenhouse, shade net.
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