Due to the large number of questions asked by the homeopathy doctors before administrating treatment to patients, a large amount of time is wasted in collecting this information. Thus, it puts into the minds of the patients that visiting homeopathy doctors are wastage of time. This discourages patients from going to homeopathy doctors. Also, due to a large amount of data being collected, there is a lot of paperwork and manual data collection. The proposed system will assist the doctor in collecting the information as well as making decisions for diagnosing and curing the diseases. This paper discusses on data mining of the patient database, the disease database and its remedies.
%0 Journal Article
%1 Mandy_2015
%A Mandy, Jenny
%A Pais, Vanessa
%A Cleetus, Calvin
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K algorithm apriori electronic health homeopathy learning machine record
%N 4
%P 1781--1786
%R 10.17762/ijritcc2321-8169.150412
%T Online Remedy Finder for Homeopathy
%U http://dx.doi.org/10.17762/ijritcc2321-8169.150412
%V 3
%X Due to the large number of questions asked by the homeopathy doctors before administrating treatment to patients, a large amount of time is wasted in collecting this information. Thus, it puts into the minds of the patients that visiting homeopathy doctors are wastage of time. This discourages patients from going to homeopathy doctors. Also, due to a large amount of data being collected, there is a lot of paperwork and manual data collection. The proposed system will assist the doctor in collecting the information as well as making decisions for diagnosing and curing the diseases. This paper discusses on data mining of the patient database, the disease database and its remedies.
@article{Mandy_2015,
abstract = {Due to the large number of questions asked by the homeopathy doctors before administrating treatment to patients, a large amount of time is wasted in collecting this information. Thus, it puts into the minds of the patients that visiting homeopathy doctors are wastage of time. This discourages patients from going to homeopathy doctors. Also, due to a large amount of data being collected, there is a lot of paperwork and manual data collection. The proposed system will assist the doctor in collecting the information as well as making decisions for diagnosing and curing the diseases. This paper discusses on data mining of the patient database, the disease database and its remedies.},
added-at = {2015-08-18T08:39:42.000+0200},
author = {Mandy, Jenny and Pais, Vanessa and Cleetus, Calvin},
biburl = {https://www.bibsonomy.org/bibtex/2961c78485ea2ae7534af4364f015c89a/ijritcc},
doi = {10.17762/ijritcc2321-8169.150412},
interhash = {657a57411303705c38398406a4538b4f},
intrahash = {961c78485ea2ae7534af4364f015c89a},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {algorithm apriori electronic health homeopathy learning machine record},
month = {april},
number = 4,
pages = {1781--1786},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-18T08:39:42.000+0200},
title = {Online Remedy Finder for Homeopathy},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150412},
volume = 3,
year = 2015
}