Jie Yang
ABSTRACT
The UK Renal Registry has set goals to analyze and report data on renal patients who are suffering relative diseases and who are on dialysis. There is one another disease, which is called Systemic Lupus Erythematosus. This is one of rheumatic diseases but always complicated with kidney also occurred in some patients. In order to provide the suitable treatment pathway for each patient, it is necessary to identify the predictors for this kind of disease. In this paper, one machine learning method will be applied to analyze disease factors about SLE, which is called logistic regression, to identify which one is a good predictor or not. Before that, one statistical method was used to check data correlations between each feature and SLE, namely chi-square test, to select those with good significance and filter out those without. With our collected SLE patients’ dataset, the occurrence of missing data also spread around various kinds of variables, to deal with that, we applied MICE to do the imputation of the missing data. By the way, one regularization method, elastic-net, was used to prevent overfitting of logistic regression model.
Supplemental Material
Available for Download
Presentation Powerpoint
- Mahmood, S. N., Mukhtar, K. N., Deen, S., and Khan, F. N. (2016). Renal Biopsy: A much needed tool in patients with Systemic Lupus Erythematosis (SLE). Pakistan Journal of Medical Sciences, 32(1), 70. J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.Google Scholar
- Kaur, A., and Kumar, R. (2015). Comparative analysis of parametric and non-parametric tests. Journal of computer and mathematical sciences, 6(6), 336K. Elissa, “Title of paper if known,” unpublished.Google Scholar
- Ugoni, A., and Walker, B. F. (1995). The Chi square test: an introduction. COM SIG review, 4(3), 61.Google Scholar
- Rana, R., and Singhal, R. (2015). Chi-square test and its application in hypothesis testing. Journal of the practice of cardiovascular sciences, 1(1), 69.Google ScholarCross Ref
- Azur, M. J., Stuart, E. A., Frangakis, C., and Leaf, P. J. (2011). Multiple imputation by chained equations: what is it and how does it work?. International journal of methods in psychiatric research, 20(1), 40-49.Google ScholarCross Ref
- Schafer, J. L., and Graham, J. W. (2002). Missing data: our view of the state of the art. Psychological methods, 7(2), 147–177.Google Scholar
- Austin, P. C., White, I. R., Lee, D. S., and van Buuren, S. (2021). Missing data in clinical research: a tutorial on multiple imputation. Canadian Journal of Cardiology, 37(9), 1322-1331.Google ScholarCross Ref
- Sperandei S. (2014). Understanding logistic regression analysis. Biochemia medica, 24(1), 12–18. https://doi.org/10.11613/BM.2014.003.Google ScholarCross Ref
- cHugh, M. L. (2013). The chi-square test of independence. Biochemia medica, 23(2), 143-149.Google Scholar
- Zhou, Y., Wang, M., Zhao, S., and Yan, Y. (2022). Machine Learning for Diagnosis of Systemic Lupus Erythematosus: A Systematic Review and Meta-Analysis. Computational intelligence and neuroscience, 2022, 7167066. https://doi.org/10.1155/2022/7167066.Google ScholarCross Ref
- Austin, P. C., White, I. R., Lee, D. S., and van Buuren, S. (2021). Missing Data in Clinical Research: A Tutorial on Multiple Imputation. The Canadian journal of cardiology, 37(9), 1322–1331. https://doi.org/10.1016/j.cjca.2020.11.010.Google ScholarCross Ref
Index Terms
- Using Machine Learning Method to Predict Treatment Pathway in Systemic Lupus Erythematosus
Recommendations
Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants
UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable ComputingRecent ubiquitous sensing technologies make it possible to capture streaming digital data that reports aspects of a patient’s physiology, behavior, and symptoms both quantitatively and in real time. As a result, it may be possible to develop streaming ...
Systemic lupus erythematosus patient with false positive results of antibody to HIV: A case report and a comprehensive literature review
A 76-year-old woman has got both lower limbs petechia and ecchymosis for 1 month, edema for 6 days and fever for 3 days. The patient suffered from purpura of both lower limbs, edema, arthralgia, recurrent fever, kidney damages, serositis, progressive ...
Comments