Khushboo Bansal

Digital Tools and Artificial Intelligence in Alzheimer’s diagnosis

Shubh Deep Yadav, Shubhanshu Goel, Ayushi Tyagi, Khushboo Bansal

The integration of digital tools and Artificial Intelligence (AI) has brought significant advancements to the diagnosis of various diseases, particularly neurodegenerative disorders like Alzheimer’s disease. AI, particularly Machine Learning (ML), enables the analysis of vast and complex datasets, such as neuroimaging, electronic …

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Punjabi Text Sentiment Analysis using Conjunction, Disjunction, and Negation Words

Surbhi Sekhri, Khushboo Bansal

In modern times, the digital world has expanded in such a way that people can express opinions and thoughts with great ease. Earlier, English was the sole language to communicate over the internet. However, in today’s scenario, users on the internet have …

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Deep Learning-Based Prediction of Anxiety and Depression Symptoms using Demographic and Temporal Data

Poonam Kaushik, Khushboo Bansal, Yogesh Kumar

The aim of the paper is to analyse the trends in anxiety and depression symptoms across different demographic groups in the United States during the COVID-19 pandemic. The data is collected between April 2020 and the subsequent months, based upon that, we …

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Optimised brain tumour detection with the Pteropus Unicinctus optimisation reliant deep model

Khushboo Bansal, Sumit Chhabra

This research Pteropus Unicinctus optimisation (PUO) is proposed which is mathematically derived from the echolocation character of Pteropusand and the eye power searching ability of Unicinctus. The integration of convolutional neural networks (CNNs) and long short-term memory (LSTM) in the PUO-reliant deep …

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Optimised brain tumour detection with the Pteropus Unicinctus optimisation reliant deep model

Sumit Chhabra, Khushboo Bansal

This research Pteropus Unicinctus optimisation (PUO) is proposed which is mathematically derived from the echolocation character of Pteropusand and the eye power searching ability of Unicinctus. The integration of convolutional neural networks (CNNs) and long short-term memory (LSTM) in the PUO-reliant deep …

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Machine Learning-Based Prediction System for Risk Assessment of Hypertension Using Symptoms Investigations

Simranjit Kaur, Khushboo Bansal, Yogesh Kumar

Hypertension is a common condition of cardiovascular disease that poses significant health challenges among the public on a larger scale globally. It is important to accurately predict the risk of hypertension to save people and improve overall quality of life. Traditionally, the …

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Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study

Poonam Kaushik, Khushboo Bansal, Yogesh Kumar, Ankur Changela

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Machine learning-based approaches for automated hypertension detection

Simranjit Kaur, Khushboo Bansal, Yogesh Kumar

Early detection and timely intervention of hypertension is critical to mitigate its adverse effects as it is a leading cause of heart disease. Traditionally, to detect hypertension depends upon various clinical factors such as measuring blood pressure, assessment of medical history, etc …

Comparative efficacy of cyclosporine 0.1%, rebamipide 2%, and carboxymethylcellulose-cyclosporine 0.05% combination eye drops in the management of dry eye disease among the Indian population

ABHINAV GOYAL, Khushboo Bansal

This comparative research study aims to evaluate and compare the results of three different eye drop formulations of Cyclosporine 0.1%, Rebamipide 2%, and a combination of Carboxymethylcellulose & Cyclosporine 0.05%, in treating dry eye cases among the Indian population. This investigation employed …

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Artificial Intelligence and Alzheimer’s Disease: Bridging Complexity with Precision Medicine

Khushboo Bansal, Shubhanshu Goel, Bhumika Chauhan, Ms. Fatima Zehra Zehra

The most prevalent cause of dementia and a progressive neurodegenerative illness, Alzheimer's disease (AD) has a substantial negative impact on both global health and the economy. There is presently no cure, despite much study, and treatments like memantine and cholinesterase inhibitors just …

A Comprehensive Analysis of Hypertension Disease Risk-Factors, Diagnostics, and Detections Using Deep Learning-Based Approaches

Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, Ankur Changela

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Machine Learning based Approaches for Accurately Diagnosis and Detection of Hypertension Disease

Simranjit Kaur, Khushboo Bansal, Yogesh Kumar

Predicting hypertension accurately is essential for early intervention and effective disease management. In recent years, machine learning techniques have attracted considerable interest for their potential to predict and diagnose a variety of medical conditions, including hypertension. The purpose of this article is …

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