Machine Learning And Data Engineering
This blog is dedicated to sharing my experiences in the field of both Machine Learning (ML) and Data Engineering.
Evolving To Robotic Process Automation
After leaving R1 RCM in June 2020, I have been fortunate to work on a variety of data engineering/data architect projects. I have had a few small business clients and some larger corporate clients. These projects utilize my skills in data architecture, data engineering, and machine learning. I have morphed into what I think of …
Analyzing The Wisconsin Breast Cancer Dataset With Azure ML Studio
Frank Mendoza of Catalytics gave a presentation on analyzing the same Wisconsin Cancer Data Set that we presented with the HealthCare.AI toolkit in November 2017. It was interesting to see how Azure Machine Learning works at a higher level with intuitive, graphical predictive analysis as compared to Healthcare.AI. I intend to add Azure Machine Learning …
HealthCare.AI Applied To Cancer
On November 28, 2017, Dan Wellisch led a second revision of his October 2017 discussion. In this discussion, the Breast Cancer Wisconsin (Diagnostic) Data Set was used. Dan also revised his slides to show the overall Machine Learning process along with graphs that can help one determine which Machine Learning model performs best on the …
Machine Learning And Cancer
If you were to perform a daily web search for “Machine Learning and Cancer”, you may find more companies each day that are using Supervised Machine Learning to perform Predictive Analytics on cancer data sets. There is Tempus, here in Chicago, IL, Berghealth in Framingham, MA, and FlatIron Health in New York, NY, as examples. …
HealthCare.AI (Python version) based on Python sk-learn library
On October 30, 2017, Dan Wellisch, presented the Python version of the HealthCare.AI open source library. He went through a basic example of a diabetes data set where the goal was to predict 30 day re-admissions for diabetes patients. He discussed the process of training several models, selecting the highest performance one, saving that model, …
Simple Linear Regression: Step By Step
On September 26, 2017, Dan Wellisch, Organizer of the Chicago Technology For Value-Based Healthcare Meetup, presented a detailed breakdown of the Linear Regression Model. The Linear Regression Model is the first model that gets taught to Data Science students. In its simplest form, there are 2 variables, an input (or feature) variable and an output …
An Exercise In Gathering Healthcare Intelligence From An All Payer/All Claims Data Set
I have written an article with Mike Ghen (https://www.linkedin.com/in/mikeghen) on data analysis of healthcare data. We used IBM Watson Analytics, Microsoft Azure SQL Database, and some Linux editing tools to product a nice summary table of findings. The article is found here.: An Exercise In Gathering HealthCare Intelligence Using Azure SQL Database, Linux Editing Commands, …
Data Warehouse 201
So, continuing on from the previous article, Data Warehouse 101, I would like to delve a little bit deeper. First, I would like to backtrack on how I defined a data warehouse in the Data Warehouse 101 article. I defined a data warehouse as follows.: a large set of databases where data from disparate systems …
Data Warehouse 101
What is a data warehouse? I like to answer this question by defining a warehouse first. What is a warehouse? Here is the definition provided by Google: a large building where raw materials or manufactured goods may be stored before their export or distribution for sale So, where do these raw materials or manufactured goods …