Benefits of Convolutional Neural Network for Healthcare Shortage Classification in Underserved Community
Benefits of Convolutional Neural Network for Healthcare Shortage Classification in Underserved Community

Abstract: 

In addition to Convolutional Neural Network (CNN) applications in the computer vision field, the goal of this presentation is to show how to utilize CNN’s ability to better classify and capture the underlying structures, relationships, and abnormalities on tabular datasets to both complement the performance of machine learning (ML) models and save time plus resources in feature engineering. With big data, CNN’s benefits multiple due to vast different layers, flexible algorithms, and parameters. The presentation is based on a subset of healthcare projects created during the pandemic peak to contribute to underserved communities in Los Angeles County. Data are sourced from Open Data and Public Health of LA County to classify the healthcare services shortage category. The presentation shows the improved results of CNN for multi-class tabular data – as a standalone model, as an ensemble with ML models for diversification and robustness, and as an automatic feature processing framework.

Bio: 

Ayemya (Mina) Moe is a Marketing Operations Lead at Project Management Institute and also holds Director of Marketing position. She graduated from UCLA with Economics major and is also serving as a reviewer for IEEE CIS (IEEE Transactions on AI).

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google