Presentations

Select a title to access the presentation file.

Partners Login will be required.

February 7, 2019

Venue: 

Assembly Row and WebEx
ERIS is working with Google Cloud Platform to provide our researchers a secure cloud solution. Anyone interested in learning more about the platform is welcome to view the slides or presentation recording. This workshop focused on Security and Automation. Agenda 9:15 - 9:45 - Security Overview (Google / GCP) Break 9:45 - 10:00 10:00 - 11:00 - Securing the Organization and Projects (Operational Best Practices) 11:00 - 11:15 - Demo and discussion around Cloud Security... Read more »
January 31, 2019

Venue: 

Research Technical Lunch
LabArchives Director of Product Experience, Marie M. Linvill and Enterprise Research IS Applications Manager, Lynn Simpson presented on LabArchives functionality and Electronic Lab Notebook requirements at Partners HealthCare. Listen to the recorded presentation: streaming recording or download recording Read more »
January 31, 2019

Venue: 

Research Technical Lunch
Wes Rodriguez, Gerrick Rodrigues and Robert Smith from the PHS IT Service Management (ITSM) Team presented on ServiceNow updates, Change Management and fielded Q&A. Follow-up questions are welcomed and can be directed to Wes Rodriguez . Listen to the recorded presentation: streaming recording or download recording Read more »
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
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 »
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 »

Pages