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James Marquez, MBA, PMP
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  • Los Angeles, CA
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Healthcare Data Analyst
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James Marquez, MBA, PMP's Blog

Walk-through Of Patient No-show Supervised Machine Learning Classification With XGBoost In R

Posted on March 21, 2017 at 8:30am 0 Comments


This is a project I've been working on for some time to help improve the missed opportunity rate (no-show rate) at all medical centers. It demonstrates how to extract datasets from an SQL server and load them directly into an R environment. It also demonstrates the entire machine learning process, from engineering new features, tuning and training the model, and finally measuring the model's performance. I would like to share my results and methodology as a guide to help…


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At 5:45pm on March 23, 2017, Pal J said…

Hi James,

I read thru your "Walk-through Of Patient No-show Supervised Machine Learning Classification With XGBoost In R" nice work and useful analysis, can you please share End User Web Application java script so I can try uploading csv if possible a 2 or 3 rows of dummy data from from csv file do create dummy taking them as sample. I not sure the csv is data is same as data you pulling from SQL either way couple rows of dummy data  would much appreciate 





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