Abstract:
Day by day increasing the value of time of human, that’s why human want to try analyses all the
data related with life and environment, for making future life easy and comfortable. In this time,
worldwide uses data mining technique and machine learning technique. Data mining technique is
used for discovering information and knowledge from large database and find the pattern and some
possibly unexpected pattern in between different data. Machine learning technique give ability to
the program to learn automatically. The medical industry uses data mining and machine learning
first priority for disease prediction and gain some unexpected knowledge by compering huge data.
The medical industry collect huge amount of healthcare data. Sad to say that they do not discover
hidden relationship for this data .so here advanced data mining technique is very helpful. Using
data mining and machine learning technique to doing this research is a prototype for disease
prediction, by conducting the appropriate use of biological profile.
In this paper, our prediction will describe about a disease when or where it will occur or epidemic
from region to region. If we make a better prediction then people have to conscious about health
in a region.
Description:
In medical industry data mining and machine learning is mainly use for diseases pattern analysis.
In this paper data mining and machine learning is used for diseases prediction. Different types of
diseases outbreak are often happens [1]. In 2002 44% people death by chronic diseases, 23%
people death by cardiovascular diseases, 6977 people affected by dengue with 17 death in 2018
etc. If human predict diseases outbreak time, then they are make some action against this diseases
as soon as possible. In this paper by analyzing data to produce result about diseases outbreak time
[2]. Machine Learning using the past experience like as human brain a system can learn itself by
analyzing huge data and can predict about a new thing. Here use data mining and machine learning
technique to predict that disease which will come first in a country and spread up [1]. Using the
way, we will predict the death rate, harmed rate affected by the disease and also provide the
information about the next disease outbreak (already discovered or not discovered by medical
science) appear before in that country.
