CSEIT1952194 | Received : 10 March 2019 | Accepted : 24 March 2019 | March-April -2019 [ 5 (2) : 661-666 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2019 IJSRCSEIT | Volume 5 | Issue 2 | ISSN : 2456-3307 DOI : https://doi.org/10.32628/CSEIT1952194 661 Study on Diabetes Management using METABO on ICT B. Santhi Vardhan * , Ch.Yeshwanth, A. Phani Harsha , E. Rajiv Reddy, K. G. Raghavendra Narayan Department of Computer Science, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India ABSTRACT One of the most analysis and business challenges for contemporary care systems is that the combined demand for higher treatment quality and reduced prices. this text presents a customized care Pathway (PHP) thought that aims to satisfy the prevailing characteristics, within the type of associate ICT system for polygenic disorder disease management developed within the METABO” analysis framework. The project was started with the aim of providing physical and virtual areas to handle the wants of health practitioners to implement simpler care provision, and empower patients to become co-producers of their own health care. The METABO platform was deployed in four hospitals, and was then tested at intervals the framework of a clinical wildcat study to assess its potential. Customized care Pathway (PHP) has been developed for polygenic disorder disease management associated integrated into an information and Communication Technology system to create a patient-centred care from organization-centred care. A small-scale wildcat study was conducted to check the platform. Preliminary results are bestowed that shed lightweight on however the PHP influences system usage and performance outcomes. Keywords : METABO Platform, Patient-Centred, Disease Management, Customized Care Pathway, ICT System I. INTRODUCTION Big data is an evolving technology that deals with a large volume of unstructured data , structured, semi- structured and that can be mined for information and used in machine learning projects and other advanced analytics applications.. As the term indicates it consists of large volume of raw data.Theoretically big data is characterized by three V’s. The extreme volume, the wide variety and the velocity of data .. Traditional searching, sorting and processing algorithms would not scale to handle the data in this range, and that too most of them are unstructured . The Big data processing technologies includes machine learning algorithms, natural language processing algorithms, predictive modeling and other artificial based techniques. concepts of personalized healthcare. Personalized patient-centered healthcare services, with increased individualized treatment, through the utilization of standard clinical protocols, may represent a solution, especially for chronic diseases. The[1] METABO platform was deployed in four hospitals, and was then tested at intervals the framework of a clinical wildcat study to assess its potential. Advances in [2]information and communication technology (ICT) make possible the continuous development and improvement of telemedicine platforms and decision support systems (DSS) for diagnosis, treatment, and management of different illnesses. [3]eHealth solutions can provide the foundation for the deployment of efficient and innovative healthcare means and procedures in which health is viewed as a