Predictive analysis in Gestational Diabetic Mellitus (GDM) using HCNN-LSTM/DPNN (Big Data)

The Statistical report from International Diabetes Federation (IDF), in 2020, 463 million people are increasingly affected by diabetes across the globe and particularly 88 million people in the Southeast Asia region. Of the 88 million people, 77 million people belong to India. IDF said India occupies the second highest place of children affected with type 1 diabetes after the United States. As per the World Health Organization (WHO), overall 2% of deaths that are occurred in India will be due to diabetes. According to IGT (Impaired Glucose Tolerance), 35% of sufferers will have Type 2 diabetes, so it can be strongly concluded that India is significantly requiring a healthcare emergency. This paper discusses the seriousness and impact of diabetes (Type1, Type2, and GDM). And also important to reveal and discuss the accuracy of the proposed methodology over the other existing methodologies. It is important to the early prediction using the HCNN-LSTM Algorithm using Big Data technology. According to the IDF report, the patients' records are huge volume, to manage and store all patients' records HDFS storage is required and it is under the big data technology.