scholarly journals Incidence Rate Prediction of Diabetes from Medical Checkup Data

2017 ◽  
Vol E100.D (8) ◽  
pp. 1642-1646
Author(s):  
Masakazu MORIMOTO ◽  
Naotake KAMIURA ◽  
Yutaka HATA ◽  
Ichiro YAMAMOTO
2020 ◽  
Vol 9 (1) ◽  
pp. 38
Author(s):  
Elham Nazari ◽  
Hamed Tabesh

Introduction: The coronavirus outbreak has become a serious issue of the entire world. In some ways, the ability to provide outbreak rate prediction is helpful. Therefore the main purpose of this study is to investigate the incidence pattern of Confirmed COVID-19 Cases in Iran, and comparison between countries with high infected person such as USA, Brazil and others.Materials and Methods: 7801401 infected cases with COVID 19 related countries with highest infection, USA, Brazil, India, Russia, Peru, Chile, Mexico, Spain, UK, South Africa, Iran and Pakistan  in 17 weeks timespan was extracted from the Daily New Cases chart at  https://www.worldmeters. Info/coronavirus/. Also, the incidence rate pattern was presented. The frequency distribution charts used to compare countries.Results: In Iran, from the interval of first week to the end of fifth week after observing the 100th case of infection, the trend of identifying patients was upward, and after that, it showed a decreasing tendency until the end of the 10th week.  However, it seems that from the 10th to the 12th week, the trend has been increasing and after that it has been almost constant. In countries such as South Africa, India, and Brazil, however, this trend has roughly always been ascending during this period, and in other countries it has been fluctuated.Conclusion: The Covid-19 has become pandemic disease. Finding similar incidence rate with other countries aimed for applying appropriate intervention is helpful.


2013 ◽  
Vol 87 ◽  
pp. 425-444 ◽  
Author(s):  
Lei Duan ◽  
Changjie Tang ◽  
Xiaosong Li ◽  
Guozhu Dong ◽  
Xianming Wang ◽  
...  

1996 ◽  
Vol 34 ◽  
pp. S7-S11
Author(s):  
C ITO ◽  
R MAEDA ◽  
K NAKAMURA ◽  
H SASAKI

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1460-P
Author(s):  
LAUREN E. WEDEKIND ◽  
SAYUKO KOBES ◽  
WEN-CHI HSUEH ◽  
LESLIE BAIER ◽  
WILLIAM C. KNOWLER ◽  
...  

Author(s):  
Tushar Deshmukh ◽  
H. S. Fadewar

This Diabetes is such a common dieses found all over the globe, in which blood glucose or in normal terminology the sugar level in blood is increased. It is the condition of the body in which the insulin which is required for the metabolism of the food is not created or body cannot use the insulin produced properly. Doctors say that diabetes can be controlled if it is detected in its early stages. Data mining is the process in which the data can be used for the prediction based on historic data. The intention here is to analysis how various researchers have used the data mining for better prediction of diabetes so that it could be controlled and possible even cured.


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