Bagavandas Mappillairaju
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View article: Further Perspectives on Predictive Modeling for Diabetes Subtypes Classification in India
Further Perspectives on Predictive Modeling for Diabetes Subtypes Classification in India Open
View article: Prevalence and Determinants of Noncommunicable Disease Risk Factors Among the Santal Tribe Residing in Mayurbhanj District, Odisha, India
Prevalence and Determinants of Noncommunicable Disease Risk Factors Among the Santal Tribe Residing in Mayurbhanj District, Odisha, India Open
Background: Noncommunicable disease (NCD) risk factors are rising among tribal groups in India. Nevertheless, this issue remains largely unexamined among the Santal tribe in Mayurbhanj district, Odisha. The objective of the study was to as…
View article: Evaluation of Logistic Regression and Advanced Machine Learning Algorithms to Differentiate between Type 1 and Type 2 Diabetes in India
Evaluation of Logistic Regression and Advanced Machine Learning Algorithms to Differentiate between Type 1 and Type 2 Diabetes in India Open
Aim: We attempted to determine whether machine learning (ML) models outperform logistic regression (LR), a traditional prediction method, in distinguishing type 1 diabetes (T1D) from type 2 diabetes (T2D). Materials and Methods: Utilizing …
View article: Internal validation of researcher-centered translational model: A mixed-method study
Internal validation of researcher-centered translational model: A mixed-method study Open
The study aimed to examine the impact of the researcher-centered Basic Fit Translational Model and Delivery Design framework on outcomes such as visualization, progression, and self-reflection. We collected data through questionnaires, wit…
View article: Profile of Risk Factors for Noncommunicable Diseases Among the Migrants of Santal Tribe Residing in Bhubaneswar City, Odisha, India
Profile of Risk Factors for Noncommunicable Diseases Among the Migrants of Santal Tribe Residing in Bhubaneswar City, Odisha, India Open
Background: Risk factors of Noncommunicable diseases (NCDs) are increasing among Indian tribes. However, this issue remains unexplored in migrants of Odisha’s Santal tribe, in Bhubaneswar city. Objective: To assess the prevalence of behavi…
View article: Predictive Modeling for Diabetes Subtype Classification in India: A Machine Learning Approach
Predictive Modeling for Diabetes Subtype Classification in India: A Machine Learning Approach Open
Objectives: We aimed to develop a predictive model to effectively distinguish between type 1 (T1D) and type 2 diabetes (T2D) in adolescents and young adult populations aged 10–30 years. Materials and Methods: Diabetic individuals aged 10–3…
View article: Tobacco use as a risk factor of Non-Communicable Diseases among the migrants of Santal tribe in Bhubaneswar city, Odisha, India
Tobacco use as a risk factor of Non-Communicable Diseases among the migrants of Santal tribe in Bhubaneswar city, Odisha, India Open
Introduction:Migration and urbanization have a significant impact on the health and lifestyle of tribal populations in India. Risk factors for Non-Communicable Diseases (NCDs) are increasing and are frequently associated with the adoption …
View article: Exploring stroke discourse on Twitter through content and network analysis among Indian users
Exploring stroke discourse on Twitter through content and network analysis among Indian users Open
The study aimed to understand stroke-related Twitter conversations in India, focusing on topics, message sources, reach, and influential users to provide insights to stakeholders regarding community needs for knowledge, support, and interv…
View article: Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India
Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India Open
Introduction The utilization of social media presents a promising avenue for the prevention and management of diabetes. To effectively cater to the diabetes-related knowledge, support, and intervention needs of the community, it is imperat…
View article: Detection of hotspots of school dropouts in India: A spatial clustering approach
Detection of hotspots of school dropouts in India: A spatial clustering approach Open
School dropout is a significant concern universally. This paper investigates the incorporation of spatial dependency in estimating the topographical effect of school dropout rates in India. This study utilizes the secondary data on primary…
View article: Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood
Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood Open
During and just after flash flood, data regarding water extent and inundation will not be available as the traditional data collection methods fail during disasters. Rapid water extent map is vital for disaster responders to identify the a…
View article: Use of social media data for disease based social network analysis and network modeling: A Systematic Review
Use of social media data for disease based social network analysis and network modeling: A Systematic Review Open
Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social m…
View article: Additional file 2 of Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood
Additional file 2 of Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood Open
Additional file 2. Location and water height derived from social media data.
View article: Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis
Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis Open
Background Natural disasters are known to take their psychological toll immediately, and over the long term, on those living through them. Messages posted on Twitter provide an insight into the state of mind of citizens affected by such di…
View article: Additional file 1 of Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis
Additional file 1 of Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis Open
Additional file 1. Geographical coordinates and ward number of negative tweets.
View article: Additional file 2 of Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis
Additional file 2 of Spatio-temporal distribution of negative emotions on Twitter during floods in Chennai, India, in 2015: a post hoc analysis Open
Additional file 2. Negative emotion tweet count and rates at ward level.