Data in Healthcare IT with Shahid Shah
Our guest this week is Shahid Shah. Shahid is CEO at Netspective, and writes three blogs: Health Care Guy, Shahid Shah, and HitSphere - the Healthcare IT Supersite. During the program, Kyle recommended a talk from the 2014 MIT Sloan CIO Symposium entitled Transforming "Digital Silos" to "Digital Care Enterprise" which was hosted by our guest Shahid Shah. In addition to his work in Healthcare IT, he also the chairperson for Open Source Electronic Health Record Alliance, an non-profit organization that, amongst other activities, is hosting an upcoming conference. The 3rd annual OSEHRA Open Source Summit: Global Collaboration in Healthcare IT , which will be taking place September 3-5, 2014 in Washington DC. For our benevolent recommendation, Shahid suggested listeners may benefit from taking the time to read books on leadership for the insights they provide. For our self-serving recommendation, Shahid recommended listeners check out his company Netspective , if you are working with a company looking for help getting started building software utilizing next generation technologies.
1 Elo 201457min
[MINI] Cross Validation
This miniepisode discusses the technique called Cross Validation - a process by which one randomly divides up a dataset into numerous small partitions. Next, (typically) one is held out, and the rest are used to train some model. The hold out set can then be used to validate how good the model does at describing/predicting new data.
25 Heinä 20140s
Streetlight Outage and Crime Rate Analysis with Zach Seeskin
This episode features a discussion with statistics PhD student Zach Seeskin about a project he was involved in as part of the Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship. The project involved exploring the relationship (if any) between streetlight outages and crime in the City of Chicago. We discuss how the data was accessed via the City of Chicago data portal, how the analysis was done, and what correlations were discovered in the data. Won't you listen and hear what was found?
18 Heinä 201433min
[MINI] Experimental Design
This episode loosely explores the topic of Experimental Design including hypothesis testing, the importance of statistical tests, and an everyday and business example.
11 Heinä 201415min
The Right (big data) Tool for the Job with Jay Shankar
In this week's episode, we discuss applied solutions to big data problem with big data engineer Jay Shankar. The episode explores approaches and design philosophy to solving real world big data business problems, and the exploration of the wide array of tools available.
7 Heinä 201449min
[MINI] Bayesian Updating
In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence.
27 Kesä 201411min
Personalized Medicine with Niki Athanasiadou
In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible.
20 Kesä 201457min
[MINI] p-values
In this mini, we discuss p-values and their use in hypothesis testing, in the context of an hypothetical experiment on plant flowering, and end with a reference to the Particle Fever documentary and how statistical significance played a role.
13 Kesä 201416min
