Presentations

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December 6, 2018

Venue: 

Research Technical Lunch
Jigar Kadakia, PHS Chief Information Security and Privacy Officer PHS Information Security reported on the November 2018 Cybersecurity drill: a review and lessons learned. Listen to the recorded presentation: streaming recording or download recording Read more »
December 6, 2018

Venue: 

Research Technical Lunch
Tim Fennell, Director of the Computer Facility, Channing Lab and Jody Sylvia, Research Informatics Manager reported on IT Infrastructure and initiatives at The Channing Lab, BWH. Listen to the recorded presentation: streaming recording or download recording Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Introduction to Machine Learning & Evaluating Models Niranjan Bhosarekar (Business Intelligence Knowledge Engineer at Neighborhood Health Plan) Using R on IDEA Platform, I will go through the very basics of building and evaluating predictive models. I will cover some of the ways we are using R at Neighborhood Health Plan. Based on our own experience, I will also touch upon how IDEA platform gives us the flexibility to switch between Big Data tools and programming... Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Machine Learning in the Clinic: Lessons from MGH Pathology Maciej Pacula (Team Lead, Bioinformatics & Data Science at Pathology - MGH ) Despite the extraordinary success of Machine Learning in medical research, successful deployments of ML in the clinical setting remain elusive. We present our approach to Machine Learning in MGH Pathology and showcase some of the predictive models we have successfully integrated into day-to-day clinical workflows, with a focus on cancer genomics. Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Machine learning analysis of maternal pregnancy clinical notes to predict newborns at risk for neonatal abstinence syndrome Joseph Chou (PHYSICIAN, Pediatric Medical Services - MGH) Natural language processing was applied to unstructured free text clinical notes to generate a predictive model identifying newborns at risk for opioid withdrawal. The predictive model had good performance, without requiring subject matter expertise or manual data abstraction for training, and selected sparse and interpretable features. This approach has promise... Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Machine Learning Applied to Understanding Health Disparities in the Behavioral Risk Factor Surveillance Survey (BRFSS) Mark Ommerborn (Research manager at Center for Community Health and Health Equity - BWH) I will present our methods of using machine learning techniques to predict wellness in a large public health dataset from the CDC, the BRFSS. I will give an introduction to using the caret package in R to compare different machine learning algorithms to build predictive models... Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Machine Learning in Collaborations: Psychiatric Risk Stratification across Healthcare Systems Amanda Zheutlin (Research Fellow at Psychiatry - MGH) We have been collaborating with other US healthcare systems to build risk stratification algorithms for psychiatric disorders using easily accessible, structured EHR data common across sites. I will share an overview of our pipeline – from data extraction to model testing – for building and sharing models across sites and some of our preliminary results. Read more »
November 13, 2018

Venue: 

Assembly Row 1W22
Machine Learning with Caret Package Melissa Zhau (Research Scientist, Harvard Public Health) A practical introduction to machine learning in R, using the popular Caret package. We will cover a general overview of the principles behine different machine learning methods, and go through some baskc steps of commonly used methods of machine learning, such as random forest and support vector machines. https://lennku.github.io/Rcaret/#1 Read more »
October 25, 2018

Venue: 

Research Technical Lunch
An overview of supported PHS secure messaging vendors: Voalte, Vocera, Mojo, Jabber and Imprivata Cortex provided by Shawn Donahue, Senior Manager in ITS and Mollie Quelle, Project Specialist, ITS. Listen to their presentation: Streaming recording or Download recording Read more »
October 25, 2018

Venue: 

Research Technical Lunch
An update on all things ITS (PHS Infrastructure Technology Services) was provided by Tim White, Associate Director of ITS. Listen to his presentation: Streaming recording or Download recording Read more »

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