Sonali Agarwal
YOU?
Author Swipe
View article: A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications
A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications Open
Exponential growth in heterogeneous healthcare data arising from electronic health records (EHRs), medical imaging, wearable sensors, and biomedical research has accelerated the adoption of data lakes and centralized architectures capable …
View article: Serum Uric Acid and Arterial pH in ICU Patients with Sepsis and their Correlation with SOFA Score: A Prospective Observational Study
Serum Uric Acid and Arterial pH in ICU Patients with Sepsis and their Correlation with SOFA Score: A Prospective Observational Study Open
Introduction: Sepsis remains a critical medical emergency characterised by a dysregulated host response to infection, leading to life-threatening organ dysfunction. Early and accurate prediction of clinical outcomes in septic patients is e…
View article: Co-Change Graph Entropy: A New Process Metric for Defect Prediction
Co-Change Graph Entropy: A New Process Metric for Defect Prediction Open
Process metrics, valued for their language independence and ease of collection, have been shown to outperform product metrics in defect prediction. Among these, change entropy (Hassan, 2009) is widely used at the file level and has proven …
View article: OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics Open
The exponential expansion of real-time data streams across multiple domains needs the development of effective event detection, correlation, and decision-making systems. However, classic Complex Event Processing (CEP) systems struggle with…
View article: Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions
Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions Open
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 detection and precise diagnosis in order to facilitate pro…
View article: Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia
Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia Open
This study investigates the potential of multimodal data integration, which combines electroencephalogram (EEG) data with sociodemographic characteristics like age, sex, education, and intelligence quotient (IQ), to diagnose mental disease…
View article: Massive Haemopericardium in a Case of Aortic Infective Endocarditis
Massive Haemopericardium in a Case of Aortic Infective Endocarditis Open
The prototypic lesion of Infective Endocarditis (IE), known as vegetation, is a mass of platelets, fibrin, microorganisms and scant inflammatory cells. IE can involve heart valves, low-pressure areas of an intracardiac defect, mural endoca…
View article: Web-based disease prediction and recommender system
Web-based disease prediction and recommender system Open
Worldwide, several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for effective monitoring and analysis of the medical records. A web-based patient diagnostic system is …
View article: An Unusual Cause of Pancreatitis: Eclampsia
An Unusual Cause of Pancreatitis: Eclampsia Open
Pancreatitis in pregnancy is not a common entity and has only been described with dysfunction of the biliary tract. Pregnancy in itself has not been described as a cause of pancreatitis, as is evidenced by the normal serum amylase and lipa…
View article: Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing Open
Cardiovascular disease (CVDs) is a rapidly rising global concern due to unhealthy diets, lack of physical activity, and other factors. According to the World Health Organization (WHO), primary risk factors include elevated blood pressure, …
View article: MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI Open
In modern healthcare, addressing the complexities of accurate disease prediction and personalized recommendations is both crucial and challenging. This research introduces MLtoGAI, which integrates Semantic Web technology with Machine Lear…
View article: A framework for developing a knowledge management platform
A framework for developing a knowledge management platform Open
Knowledge management (KM) involves collecting, organizing, storing, and disseminating information to improve decision-making, innovation, and performance. Implementing KM at scale has become essential for organizations to effectively lever…
View article: The Impact of COVID-19 on the Event Industry and the Rise of Virtual and Hybrid Formats
The Impact of COVID-19 on the Event Industry and the Rise of Virtual and Hybrid Formats Open
The COVID-19 pandemic has had a profound impact on the event industry, forcing organizers to rapidly adapt to new realities and restrictions. This research paper examines how the crisis has accelerated the adoption of virtual and hybrid ev…
View article: Decision support system for Forest fire management using Ontology with Big Data and LLMs
Decision support system for Forest fire management using Ontology with Big Data and LLMs Open
Forests are crucial for ecological balance, but wildfires, a major cause of forest loss, pose significant risks. Fire weather indices, which assess wildfire risk and predict resource demands, are vital. With the rise of sensor networks in …
View article: A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks Open
Human being and different species of animals having the skills to gather, transferring knowledge, processing, fine-tune and generating information throughout their lifetime. The ability of learning throughout their lifespan is referred as …
View article: Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City
Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City Open
In recent years, smart city-based development has gained momentum due to its versatile nature in architecture and planning for the systematic habitation of human beings. According to World Health Organization (WHO) report, air pollution ca…
View article: Leptospirosis and Dengue Coinfection-Associated Multi-Organ Dysfunction Syndrome: A Case Report
Leptospirosis and Dengue Coinfection-Associated Multi-Organ Dysfunction Syndrome: A Case Report Open
Dengue and leptospirosis are frequently discussed separately, with dengue causing rash and leptospirosis causing jaundice. Currently, there are more and more reports of coinfections. The comparable clinical symptoms of both infections make…
View article: A Case of Acute Disseminated Encephalomyelitis in Adults: Unravelling the Influenza B and Leptospirosis Co-infection
A Case of Acute Disseminated Encephalomyelitis in Adults: Unravelling the Influenza B and Leptospirosis Co-infection Open
Acute Disseminated Encephalomyelitis (ADEM) is a neurological disorder characterised by demyelination, where the immune system targets the Central Nervous System (CNS). This condition typically develops rapidly, with neurological symptoms …
View article: A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence
A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence Open
Liver diseases pose a significant global health burden, impacting many individuals and having substantial economic and social consequences. Rising liver problems are considered a fatal disease in many countries, such as Egypt and Moldova. …
View article: Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query
Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query Open
Due to intelligent, adaptive nature towards various operations and their ability to provide maximum comfort to the occupants residing in them, smart buildings are becoming a pioneering area of research. Since these architectures leverage t…
View article: A Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query
A Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query Open
Due to intelligent, adaptive nature towards various operations and their ability to provide maximum comfort to the occupants residing in them, smart buildings are becoming a pioneering area of research. Since these architectures leverage t…
View article: Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules Open
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, mosquitoes, triatomine bugs, blackflies, and sandflies. If …
View article: Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach
Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach Open
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 is very crucial to predict the spreading rate of this viru…
View article: Impact of the composition of feature extraction and class sampling in medicare fraud detection
Impact of the composition of feature extraction and class sampling in medicare fraud detection Open
With healthcare being critical aspect, health insurance has become an important scheme in minimizing medical expenses. Following this, the healthcare industry has seen a significant increase in fraudulent activities owing to increased insu…
View article: Anomaly detection in surveillance videos using transformer based attention model
Anomaly detection in surveillance videos using transformer based attention model Open
Surveillance footage can catch a wide range of realistic anomalies. This research suggests using a weakly supervised strategy to avoid annotating anomalous segments in training videos, which is time consuming. In this approach only video l…