Content of review 1, reviewed on October 31, 2020

authors proposed a paper Effective disease prediction system using data mining system.they employed the multiplayer perception neural network with back propagation as the training algorithm. Here are the review comments

Abstract, title and references: abstract should carry some data ? it is not clear how they got the result and the aim is not clear authors mentioned in the abstract the risk level of disease but actually they have not shown how the proposed algorithm predicts risk level.

Title is not informative . Looks broad as there are many data mining algorithms are there . they have to mention clearly what the technique they used. References are very few and should refer latest references . They have not included appropriate studies.

Introduction: There is no proper organization of the paper in the introduction. Detail discussion should be made in the introduction . Authors has to discuss about how disease prediction should be achieved by applying using data mining. Research question have not clearly outlined

methods : process of subject selection is not clear.

Results : authors are not clear about what testing technique is used for testing the classifier authors are not clear how they got 100% accuracy how training set is used instead of testing? There is no comparison of proposed method with the existing approaches authors need to test the results with 10 cross validation.

strengths : authors tried to address the health related research which is prime need of the hour

weakness : authors should clearly mention how they achieved the results with critical review and refer latest references

Source

    © 2020 the Reviewer.

References

    Singh, P., Singh, S., Pandi-Jain, G. S. 2018. Effective heart disease prediction system using data mining techniques. International Journal of Nanomedicine, Volume 13: 121.