Commit d1d77462 authored by Banukaiw's avatar Banukaiw

completed backend model

parent 69745c4d
This source diff could not be displayed because it is too large. You can view the blob instead.
# 2023-297
Our group focuses on using machine learning and image processing techniques to identify and track the spread
of kidney diseases in Sri Lanka. By analyzing medical and patient data, we aim to create a comprehensive
solution to health care system.
**Main 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.Hew**a
* 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
*
\ No newline at end of file
Month,Sales
2005-1-31,2815
2005-2-28,2672
2005-3-31,2755
2005-4-30,2721
2005-5-31,2946
2005-6-30,3036
2005-7-31,2282
2005-8-31,2212
2005-9-30,2922
2005-10-31,4301
2005-11-30,5764
2005-12-31,7312
2006-1-31,2541
2006-2-28,2475
2006-3-31,3031
2006-4-30,3266
2006-5-31,3776
2006-6-30,3230
2006-7-31,3028
2006-8-31,1759
2006-9-30,3595
2006-10-31,4474
2006-11-30,6838
2006-12-31,8357
2007-1-31,3113
2007-2-28,3006
2007-3-31,4047
2007-4-30,3523
2007-5-31,3937
2007-6-30,3986
2007-7-31,3260
2007-8-31,1573
2007-9-30,3528
2007-10-31,5211
2007-11-30,7614
2007-12-31,9254
2008-1-31,5375
2008-2-29,3088
2008-3-31,3718
2008-4-30,4514
2008-5-31,4520
2008-6-30,4539
2008-7-31,3663
2008-8-31,1643
2008-9-30,4739
2008-10-31,5428
2008-11-30,8314
2008-12-31,10651
2009-1-31,3633
2009-2-28,4292
2009-3-31,4154
2009-4-30,4121
2009-5-31,4647
2009-6-30,4753
2009-7-31,3965
2009-8-31,1723
2009-9-30,5048
2009-10-31,6922
2009-11-30,9858
2009-12-31,11331
2010-1-31,4016
2010-2-28,3957
2010-3-31,4510
2010-4-30,4276
2010-5-31,4968
2010-6-30,4677
2010-7-31,3523
2010-8-31,1821
2010-9-30,5222
2010-10-31,6872
2010-11-30,10803
2010-12-31,13916
2011-1-31,2639
2011-2-28,2899
2011-3-31,3370
2011-4-30,3740
2011-5-31,2927
2011-6-30,3986
2011-7-31,4217
2011-8-31,1738
2011-9-30,5221
2011-10-31,6424
2011-11-30,9842
2011-12-31,13076
2012-1-31,3934
2012-2-29,3162
2012-3-31,4286
2012-4-30,4676
2012-5-31,5010
2012-6-30,4874
2012-7-31,4633
2012-8-31,1659
2012-9-30,5951
\ No newline at end of file
Month,DrugX
1964-01,2815
1964-02,2672
1964-03,2755
1964-04,2721
1964-05,2946
1964-06,3036
1964-07,2282
1964-08,2212
1964-09,2922
1964-10,4301
1964-11,5764
1964-12,7312
1965-01,2541
1965-02,2475
1965-03,3031
1965-04,3266
1965-05,3776
1965-06,3230
1965-07,3028
1965-08,1759
1965-09,3595
1965-10,4474
1965-11,6838
1965-12,8357
1966-01,3113
1966-02,3006
1966-03,4047
1966-04,3523
1966-05,3937
1966-06,3986
1966-07,3260
1966-08,1573
1966-09,3528
1966-10,5211
1966-11,7614
1966-12,9254
1967-01,5375
1967-02,3088
1967-03,3718
1967-04,4514
1967-05,4520
1967-06,4539
1967-07,3663
1967-08,1643
1967-09,4739
1967-10,5428
1967-11,8314
1967-12,10651
1968-01,3633
1968-02,4292
1968-03,4154
1968-04,4121
1968-05,4647
1968-06,4753
1968-07,3965
1968-08,1723
1968-09,5048
1968-10,6922
1968-11,9858
1968-12,11331
1969-01,4016
1969-02,3957
1969-03,4510
1969-04,4276
1969-05,4968
1969-06,4677
1969-07,3523
1969-08,1821
1969-09,5222
1969-10,6872
1969-11,10803
1969-12,13916
1970-01,2639
1970-02,2899
1970-03,3370
1970-04,3740
1970-05,2927
1970-06,3986
1970-07,4217
1970-08,1738
1970-09,5221
1970-10,6424
1970-11,9842
1970-12,13076
1971-01,3934
1971-02,3162
1971-03,4286
1971-04,4676
1971-05,5010
1971-06,4874
1971-07,4633
1971-08,1659
1971-09,5951
1971-10,6981
1971-11,9851
1971-12,12670
1972-01,4348
1972-02,3564
1972-03,4577
1972-04,4788
1972-05,4618
1972-06,5312
1972-07,4298
1972-08,1413
1972-09,5877
\ No newline at end of file
This diff is collapsed.
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment