activity
20222026
most citedA Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence

2 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

cs.LG2026

Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic

Md Inzmam, Ritesh Chandra, Sadhana Tiwari +2

Outdoor air pollution is a major concern for the environment and public health, especially in areas where urbanization is taking place rapidly. The Indian Air Quality Index (IND-AQ…

cs.DC2025

A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications

Ritesh Chandra, Sonali Agarwal, Navjot Singh +1

Exponential growth in heterogeneous healthcare data arising from electronic health records (EHRs), medical imaging, wearable sensors, and biomedical research has accelerated the ad…

cs.DB2025

Real-Time Health Analytics Using Ontology-Driven Complex Event Processing and LLM Reasoning: A Tuberculosis Case Study

Ritesh Chandra, Sonali Agarwal, Navjot Singh

Timely detection of critical health conditions remains a major challenge in public health analytics, especially in Big Data environments characterized by high volume, rapid velocit…

cs.LG2025

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions

Himanshi Singh, Sadhana Tiwari, Sonali Agarwal +3

Individual's general well-being is greatly impacted by mental health conditions including depression and Post-Traumatic Stress Disorder (PTSD), underscoring the importance of early…

cs.LG2025

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia

Himanshi Singh, Sadhana Tiwari, Sonali Agarwal +3

This study investigates the potential of multimodal data integration, which combines electroencephalogram (EEG) data with sociodemographic characteristics like age, sex, education,…

cs.AI2023★ 2 cited

A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence

Ritesh Chandra, Sadhana Tiwari, Satyam Rastogi +1

Liver diseases pose a significant global health burden, impacting many individuals and having substantial economic and social consequences. Rising liver problems are considered a f…

cs.AI2023★ 2 cited

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules

Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal +1

Vector-borne diseases (VBDs) are a kind of infection caused through the transmission of vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks,…

q-bio.PE2022

Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach

Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal

SARS-COV-19 is the most prominent issue which many countries face today. The frequent changes in infections, recovered and deaths represents the dynamic nature of this pandemic. It…

cs.LG2022

Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming

Sadhana Tiwari, Sonali Agarwal

Recent advancement in the field of pervasive healthcare monitoring systems causes the generation of a huge amount of lifelog data in real-time. Chronic diseases are one of the most…

eess.SP2022

An optimized hybrid solution for IoT based lifestyle disease classification using stress data

Sadhana Tiwari, Sonali Agarwal

Stress, anxiety, and nervousness are all high-risk health states in everyday life. Previously, stress levels were determined by speaking with people and gaining insight into what t…