Initial commit
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MaintainerEdited by Weththasinghe A.SMain Objective This research is conducted on the topic of Machine learning and image processing approach to identify spread of kidney diseases in Sri Lanka.
Main Research Question: Despite advancements in medical imaging and diagnostic techniques, there is a need for an accurate and efficient method to identify and track the spread of chronic kidney diseases in Sri Lanka. How can machine learning and image processing techniques be effectively applied to analyze medical imaging data and provide reliable predictions and early detection of kidney diseases across different regions of Sri Lanka and create a web-based system for health care.
Individual Research Question
IT20105198 Weththasinghe A.S.
- Are you like to know what are the best ayurvedic treatments for kidney patients in Sri Lanka and how to give best accuracy suggestions for the users?
- How do you personalize your medical treatments in Sri Lanka based on your interests.
- Do you know good impact for kidney patients increasingly moving to Ayurveda in Sri Lanka?
IT20140984 Banuka Ishara W.
- What natural influences should be considered when developing an algorithm to forecast medicine and predict kidney disease?
- What should be the ethical consideration related to the use of patient data when developing machine learning models for predicting kidney disease?
- How many medications type should be considered to forecast and if any type is considered, which medication type should be prioritized?
IT20151010 Hansika Kithmin L.Hewa
- Lack of resources
- Lack of knowledge about diseases
- Social barriers Cultural barriers
- Increasing amount of kidney diseases
IT20144530 Deshan N.A.S
- Lack of standardized dietary guidelines
- Limited dietary adherence
- Complex dietary restrictions
- Limited data availability
