Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Clustering and Analysis

Title

Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Clustering and Analysis

Creator

Goswami M.; Elango D.; Vishnu C.; Tendulkar V.

Description

Every year in India, there are nearly 15,600 fresh cases being reported among these age groups. In 2011, in the United States, 18,000 children under 15 were newly reported for T1DM. Over 13years, the Karnataka state government has a list of records showing that out of 100,000, 37% of boys and 40% of girls are affected by T1DM Disease. This paper investigates two methodologies to identify significant details about Type-1 diabetes. The first methodology is applicable to clinical data. The second methodology is demonstrated for the NDA T1D dataset. The dataset is utilized further to apply machine learning techniques to group similar patient traits. Exploratory data analysis on the dataset has revealed significant information answering a few research questions. This analysis can be useful for India, China, and other countries with high populations. In this paper, a unique methodology based on Artificial Intelligence Technique is proposed for both clinical and non-clinical data. The Autoimmune Disease, Diabetes Type 1-T1D, is focused. Non Clinical data based on 2021 reports are collected to identify patterns. Substantial unique issues are addressed in this work which were never reported before. The knowledge generated can be helpful for creating new clinical datasets, methodology and new insights related to Type-1 diabetes. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Networks and Systems, Vol-818, pp. 349-360.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Analysis; Clustering; Diabetes Type 1; Intelligent approaches; K-Means; Silhouette

Coverage

Goswami M., CHRIST (Deemed to be University), Bangalore, India; Elango D., CHRIST (Deemed to be University), Bangalore, India; Vishnu C., CHRIST (Deemed to be University), Bangalore, India; Tendulkar V., CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981997861-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-99-7862-5_26

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187648608&doi=10.1007%2f978-981-99-7862-5_26&partnerID=40&md5=47d8bbc959579e1e77d6b6d35469ddfe