Medalert-A Diabetic Predictor Using Logistic Regression Statistical Model

Abstract

Diabetes is a type of disease in which your blood glucose, or blood sugar, levels are too high. In this research we are focusing on Diabetes patients who have been in a hospital for treatment and we want to classify the ones who are at high risk that they’re going to be readmitted to the hospital that is, that somehow their treatment or the follow up to their treatment or something isn’t likely to be sufficient and they’re going to wind up being re-hospitalized, which is, as we can imagine a serious problem. It’s expensive, it’s dangerous for the patients, etc. so there’s a lot of reasons why this is an important area. Objective of this research is to design a predictor that predict which hospitalized diabetes patients will be readmitted for their condition at a later date with help of statistical models like logistic regression model In this research, the criteria are the performance to minimize the error function.

Authors and Affiliations

Shwetank Shukla, Raunak Jain, Shikhar Dubey

Keywords

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  • EP ID EP24084
  • DOI -
  • Views 240
  • Downloads 8

How To Cite

Shwetank Shukla, Raunak Jain, Shikhar Dubey (2017). Medalert-A Diabetic Predictor Using Logistic Regression Statistical Model. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(5), -. https://europub.co.uk/articles/-A-24084