Drishty Sobnath

Cancer support & advice (CANadvice) m-health system for home monitoring and symptom management of patients receiving oral chemotherapy treatment

Drishty Sobnath, N. Philip, R. Kayyali, S. Nabhani-Gebara

20142014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH)1 citations Open access

Semantic Scholar

Drishty Sobnath

Most-cited papers

Features of a Mobile Support App for Patients With Chronic Obstructive Pulmonary Disease: Literature Review and Current Applications

Features of Mobile Apps for People with Autism in a Post COVID-19 Scenario: Current Status and Recommendations for Apps Using AI

Dynamic Group Formation With Intelligent Tutor Collaborative Learning: A Novel Approach for Next Generation Collaboration

Feature Selection for UK Disabled Students’ Engagement Post Higher Education: A Machine Learning Approach for a Predictive Employment Model

Smart Cities to Improve Mobility and Quality of Life of the Visually Impaired

WELCOME — Innovative integrated care platform using wearable sensing and smart cloud computing for COPD patients with Comorbidities

Computer Vision and Deep Learning-Enabled UAVs: Proposed Use Cases for Visually Impaired People in a Smart City

Design of a RESTful middleware to enable a web of medical things

WELCOME project: What do stakeholders want? In depth analysis of COPD patients, carers and healthcare professional views

Context-Aware Autonomous Drone Navigation Using Large Language Models (LLMs)

Using Machine Learning Advances to Unravel Patterns in Subject Areas and Performances of University Students with Special Educational Needs and Disabilities (MALSEND): A Conceptual Approach

Mobile self-management application for COPD patients with comorbidities: A usability study

Predicting Cardiovascular Disease with Machine Learning: An Explainable AI Approach

Features of a COPD patient support mobile application : review of the literature and analysis of current applications

Seeing Safety: Computer Vision for Real-Time PPE Monitoring in the Middle East Construction Sector

Data as Partner (DAP): Integrating Automation with Daily Living

An Informal Carer Hub to Support Carers Looking After COPD Patients in the UK and Netherlands

Cancer support & advice (CANadvice) m-health system for home monitoring and symptom management of patients receiving oral chemotherapy treatment

BREAKING BARRIERS: EMPOWERING NON-STEM STUDENTS IN DATA SKILLS THROUGH INQUIRY-BASED AND COLLABORATIVE LEARNING

A Conceptual Evaluation of the Data as Partner (DAP) Framework

A machine learning conceptual approach to detect patterns in subject areas and performance of university students with special educational needs and disabilities (MALSEND)