Asthha Wahal

Galgotias University

Papers

1

Total Citations

9

H-Index

1

About

Dr. Asthha Wahal’s research explores the intersection of artificial intelligence and healthcare, with a particular focus on developing intelligent systems for medical diagnostics and patient triage. Her most-cited work, “IoT based Chatbots using NLP and SVM Algorithms” (2022, 9 citations), investigates the use of AI-powered chatbot applications that leverage natural language processing and support vector machines to assist users in self-assessing symptoms. This contribution addresses a growing need for accessible, AI-driven tools in the healthcare market, aiming to improve early detection and reduce the burden on clinical systems. While the paper has since been retracted, it reflects Dr. Wahal’s engagement with emerging technologies in digital health and human-computer interaction. Her broader research interests include machine learning, the Internet of Things, and intelligent systems design. Through her work, Dr. Wahal contributes to the ongoing development of scalable, AI-based solutions that can enhance healthcare accessibility and decision-making for both patients and providers.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Retracted: IoT based Chatbots using NLP and SVM Algorithms
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Galgotias University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago