🕹️ Machine Learning for Design
May 27th, 2024
📝 Research Concept
The core concept of my project was to enhance health management by integrating quantitative health metrics with qualitative personal experiences. This approach aimed to create a more personalized health management system that not only considers medical data but also factors in daily personal feelings and experiences.
- Literature Review: Typeset.io helped me locate and access relevant academic papers discussing the integration of various data types in medical fields. This was crucial for understanding current practices and identifying gaps my app could address.
- Document Formatting and Citation Management: The tool provided academic templates and citation management, ensuring that all documentation met rigorous academic standards. This was especially important for the educational content in the app, which needed to accurately represent complex medical information in a user-friendly manner.
- Content Development for App Prototype: Using insights from the research, Typeset.io aided in creating educational content within the app. This includes detailed descriptions of different hormones, their functions, interactions, and impact on health, which are part of the app’s features to educate users about their blood panel results.
🔍 Methods and Processes
- Data Compilation and Analysis: I analyzed both qualitative feedback from initial app users and quantitative health data. Typeset.io was instrumental in formatting this data to develop a robust foundation for the app’s educational and analytical features.
- Development Strategy: The research facilitated by Typeset.io guided the entire development strategy, particularly in designing features that merge various data types to enhance user understanding and engagement with their health metrics.
✅ Deliverables