Skip to contentMasud Rabbani
CV
Menu

Conference articles · 2025

Digital Health Using Data Science

Padmapriya Velupillai Mekandan, Paramita Basak Upama, Amity Ali, Masud Rabbani, Sheikh Iqbal Ahamed

2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC) · Pages 2344–2351

Abstract

The digitization of healthcare has led to an unprecedented growth in health-related data, offering new opportunities to transform clinical decision-making, disease prediction, and patient engagement. However, extracting actionable insights from diverse data sources such as electronic health records, wearable devices, and mobile health apps requires a fusion of domain knowledge in healthcare and technical expertise in data science. This paper presents a structured, interdisciplinary framework for digital health that emphasizes practical strategies for data acquisition, preprocessing, feature engineering, machine learning, and ethical data use. The model promotes a holistic understanding of digital health challenges and opportunities, preparing future professionals to apply computational tools in real-world healthcare environments responsibly.

Publication details

Category
Conference articles
Authors & affiliations
  1. Padmapriya Velupillai MekandanUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  2. Paramita Basak UpamaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  3. Amity AliUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  4. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  5. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
Venue
2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC)
Publisher
IEEE
Record
Pages 2344–2351
Published
2025
Cite this work

Padmapriya Velupillai Mekandan, Paramita Basak Upama, Amity Ali, Masud Rabbani, Sheikh Iqbal Ahamed. “Digital Health Using Data Science”. 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), 2344–2351. (2025). https://doi.org/10.1109/COMPSAC65507.2025.00330.

Download BibTeXDownload RIS

Research topics

  • Digital Health
  • Data Science
  • Healthcare Analytics
  • Machine Learning
  • Ethical AI
  • Interdisciplinary Education
  • Health Informatics
  • Wearable Data
  • digital health
  • data science
  • health data
  • feature engineering