Examples in Technology

Examples are shown on Blog Posts.

Cluster Analysis

By Brett R. Taylor on May 14, 2019

Basics Tidyverse is a set of R libraries that enables the best methods for Data Management. I will use the tidyverse libraries to perform cluster analysis and provide this information to other data science teams in the industry. library(devtools) install_github("kassambara/factoextra") Introduction to R Data Preparation and R Packages Required Packages dplyr tidyr testthat cluster factoextra Data Standardization We need the ability to transform vectors in our data frames to standard variables.

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Statistics: Central Limit Theorem

By Brett Taylor on April 30, 2019

Overview The Central Limit Theorem states that when samples of a population are large, the sampliing distribution will take the shape of a normal distribution regardless of the shape of the population from which the sample was drawn. This is proven out through the simulation below that projects the theoretical mean of the exponential distribution compared to the sampling. The variance between the theorectical mean, and the sample mean is .

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Statistical Analysis: Vitamin C of Tooth Growth on Guinea Pigs

By Brett R. Taylor on April 25, 2019

Overview A data set has been created from an experiment in 1952 which demonstrates the impact of Vitamin C, on the growth of guinea pigs teeth. The response is the length of teeth in each of 10 guinea pigs at each of three dose levels of Vitamin C (0.5, 1, and 2 mg) with each of two delivery methods (orange juice or ascorbic acid). The analysis below works to determine if the two supplement types have different impacts on growth of the guinea pig’s teeth.

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Applying Natural Language Processing to Predict

By Brett R. Taylor on April 3, 2019

Utilizing Natural Language Processing to predict text is interesting. I built a small little tool to test the NLP process. The video shows how to use this tool to predict text. I embedded this video within the application I wrote that utilizes the Natural Language Processing model I built to predict the next text word after you put them in place. I developed this when I was in the Data Science Capstone on-line course with John Hopkins University.

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Workforce Analysis

Creating an exceptional experience for your workforce requires that you understand how you are delivering services to your organization. I have used data analytics to determine how well services are being delivered, and understand the risks and the value is being provided. This method enables the right amount of time and effort that an organization can spend to create an exceptional experience for the patients and the community you care for.

Product Delivery with Dev/Ops

Planning in the past required a large investment in the waterfall project management process. I have been dedicated to adopting agile methodologies that allow you to deliver the right solution at the right time with a decent investment. Development and Operations have been living in their own silos in the past. To eliminate this, I have adopted Dev/Ops in my last Chief Technologist position so that we could deliver products correctly for our customers. I can help you integrate your teams so that they are able to continuously deliver solutions that enable the care givers and the people that support them to provide a better patient experience, and to lower cost.

Software Development

I have provided software development in Healthcare, Banking, and some other areas over the last 30 years. I have utilized multiple languages based on Object-Oriented Programming, and Functional languages which include Smalltalk, Java, C, R, Python, and other languages. This makes sense with the adoption of the Electronic Health Record. I have had the ability to do this development for product development at Software development companies, and verticles in the areas of Healthcare, Banking, and Consulting businesses. I always love to keep my hands on the keyboard, and learn new languages so I will continue to keep programming moving forward. I tend to always integrate this work into the data side of the world, and you can see my skills that handle this area.

Legacy System Archiving

One area that I have built a product for based on my own company is the creation of a Legacy system archive soltuion. Legacy systems are applications should soon no longer be in service because they are being replace (or already have), yet the access to the information from the system from the past is required. I developed a solution for claims archiving back in 2004 that ran on a co-location data center and it was web based. I made the system secure through proper authentication, and I also created good features for the customer. In the future as an I.T. leader, I took on reducing the cost of legacy systems, and had a team focused on minimizing our efforts to support these old systems. This is important, and you can see more information about this by clicking on the button.

R Statistics

Moving forward in Healthcare requires Analytics being applied to the data that you have access to. The language R is one of the top 2 languages used in this arena. In fact, this website was built on a toolset that was developed by R-Studio to allow simple work occur for data scientist and statiticians. The language R has over 12000 packages that were designed to enable Data Scientists and statiticians to rapidly take on analytics and Machine Learning.
The language has not only grown over the last 30 years, the environment platforms have also. R-Studio, Microsoft R Analytics, and Open Analytics have developed some great environments that enable you to work with this environment in the enterprise.

Neo4j Graph Databases

Native Graph databases enable understanding of relationships between concepts and observations better than the past database structures that we have used. Success in Healthcare is all about understanding the relationships. Please take a look at Neo4j graph database.

Python in Data Science

Python is the fastest growing language in the world. The reason is that there is a lot of value in this language since it is both functional, has a good environment for Object-Oriented programing. My personal experience with Python is in the realm of Data Science and Data management. I use it to enable good access to data, and to analyze data well. I have developed several solutions based on Python, and I expect that I will continue to use it, and R in the Data Science realm.

Data Management

My experience in my career has been very focused on data to analyze and predict the future in the medical industry. To make this successful, I have been accountable for managing the data. Data management is critical, I have extended it in the areas of governance and project management. Since I have utilized diverse types of databases, and other data sources, I understand the challenges with managing data and implementing better solutions to allow for proper management. I have applied Machine Learning to understand data better, with tools like classification, clustering, and also using Natural Language Processing (N.L.P.). I also have built out rule-based systems to understand complex data better.


I have been very lucky to become an official leader in the Healthcare Industry over the last 13 years. In the start of my career, I always wanted to the data analysis and development side of the world so I avoided taking on official jobs as a manager. Since I did have my own consulting business, I was a leader, yet I didn’t recognize that that was one of my skills. I became a director at a Healthsystem when I was consulting to handle data integration work, and they hired me. It ended up that I really like working with teams, and realize that being a leader, means that you are listening to the experts that report to you, and taking on the best advise you can get from them. Communication is one of the most important parts of this world, and as I’ve learned, you really need to handle non-verbal communication as well as verbal communication. Taking on leadership has been fun, and you can see some of my non-verbal communication by clicking on the icon above.

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