Integrating Advanced IBM Cloud-Based AI/Machine Learning Platform to Develop Predictive Models for Medical Applications
Publication Date
1-1-2024
Document Type
Conference Proceeding
Publication Title
2024 IEEE Integrated STEM Education Conference, ISEC 2024
DOI
10.1109/ISEC61299.2024.10665146
Abstract
In recent years, the widespread applications of artificial intelligence (AI) and its subdomains, including machine learning (ML), have significantly impacted various fields, particularly medicine. The abundance of medical data available has led to the development of multiple regressions and algorithms, facilitating the creation of accurate predictive models over time. Achieving this requires a solid understanding of algorithms, programming languages, and computing skills. Fortunately, the availability of cloud-based AI platforms has been a boon for emerging researchers, with IBM Watson being a notable example. IBM Watson's cloud-based AI platform, Watson Studio, offers users the ability to select algorithms that are optimized through various enhancements, ensuring the highest possible accuracy in predicting model outcomes. This workshop will provide a detailed overview of the IBM Watson AI/ML platform's methodology to the audience. Using data related to Parkinson's disease sourced from Kaggle, the workshop will demonstrate the development of predictive models, for which the various pipelines, confusion matrices, and feature summaries, and other performance metrics will be discussed.
Keywords
artificial intelligence, IBM Watson Studio, machine learning, medical applications
Department
Mechanical Engineering
Recommended Citation
Manasvi Pinnaka, Sohail Zaidi, and Vimal Viswanathan. "Integrating Advanced IBM Cloud-Based AI/Machine Learning Platform to Develop Predictive Models for Medical Applications" 2024 IEEE Integrated STEM Education Conference, ISEC 2024 (2024). https://doi.org/10.1109/ISEC61299.2024.10665146
