Smoking and drinking habits-The present data has also …show more content…
The dataset contains the range of body weight from 30 kg to 85 kg. 68% of the attribute is with a weight above 70 percent.. The height of the people were from 140 cm to 170 cm and the dataset lies an average height at 161.09 ± 7.06. Blood grouping -Most of the people are predicted with B blood group, followed by O group. Most of the people with Rh factor positive shows the occurrence of kidney stones. Blood groups with A negative may show less intensity in occurrence of Kidney …show more content…
80% of the people like to eat non-veg in these regions that leads to produce kidney stones in humans.
Other disease and symptoms -Most of the kidney stone patients has complications mostly with spinalcord (27%), followed by kidney pain (23%), heart pain (10%) and diabetes (15 %) and gout 20 %. And stomach pain 5%. Hence there may be interrelationship of kidney stone disease with spine, stomach , gout, diabetes and heart related diseases
Food habits -The present results provides the information of food habits of the kidney stone patients. Data related to intake of foods such as fruits, vegetables, grains, animal products etc has been collected on their food habits. Most of the people in those regions are taking rice and potato followed by brinjal, buttermilk and leafy vegetables like spinach with tomato. Most of the people are taking all types of fruits (51%) but mostly taking Banana, apple and orange. Most of the people are taking all types of vegetables (48%) but taking mostly spinach and tomato. Hence these vegetables may lead to kidney stones, if taken in