ItemConference Paper

Unveiling Patterns, Visualizations, and Trends from Patient Diabetes Data

Title
Unveiling Patterns, Visualizations, and Trends from Patient Diabetes Data
Creator
Gupta, Ritwika Das; Chatterjee, Soham; Latifi, Shpetim; Behera, Tapan Kumar
Description
The important role that exploratory data analysis, or EDA, plays in the context of diabetes prediction is explored in this work. EDA is used as a key component of a multimodal strategy to identify unique characteristics linked to diabetes. EDA offers insights that aid in the creation of prediction models by sifting through the complex patterns present in the medical data. The focus is on using EDA to fully grasp the data landscape while also comprehending the distinct features of diabetes. This investigation is critical to accurately categorizing people into discrete risk groups and emphasizes the use of domain-specific knowledge in enhancing diabetes prediction techniques. The research suggests using specific EDA techniques to gain deep insights and lead proactive responses. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Electrical Engineering;Volume;1269;pp.321-332
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Classification algorithms; Cross-validation; Downsampling; Exploratory data analysis; Feature engineering; Healthcare decision-making; Proactive interventions
Coverage
Gupta R.D., Department of Statistics and Data Science, CHRIST Deemed to be University, Bangalore, India; Chatterjee S., Department of Statistics and Data Science, CHRIST Deemed to be University, Bangalore, India; Latifi S., Department of Computer Science, AAB College, Pristina, Kosovo; Behera T.K., Technical Architect, Independent Researcher, Boston, MA, United States
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 18761100; ISBN: 978-981979514-7;
Format
online
Language
English
Type
Conference paper

Citation

Gupta, Ritwika Das; Chatterjee, Soham; Latifi, Shpetim; Behera, Tapan Kumar, “Unveiling Patterns, Visualizations, and Trends from Patient Diabetes Data,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25682.

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