I think we will have a very interesting next year ahead of us with all
these research questions on our todo list.
If there are any research areas you like to add to what has been discussed today please let me know:
Temporal data analysis
Deep Learning
Sparse Coding
Knowledge-Data driven hybrids
Leveraging textual information
Studying transportability
Developing Parsimonious Models
Visualisation tasks and ATLAS integration
We would really like to get more people actively involved in these research areas so do get in touch with us if we need to add you to smaller focussed teams.
The recording and slides of today are available on the wiki page.
Tomorrow we have the first PLP TC of the year in which we will discuss and demo the current version of the PLP package and we will ask those that have data to give it a try. We will definitely extend the package in the upcoming period with more algorithms, feature engineering steps and much more candy Hopefully you will contribute to that now we have made the foundation.
Furthermore, we will introduce a new validation study we are initiating to look at transportability of prediction models.
I have sent out new agenda invites, if you have not received one let me know. The gotomeeting details are the same as last year.
Note also that I like to start Eastern Hemisphere bi-weekly meetings starting next week to have our other friends join the PLP journey. I will fix the time for that with the people that join the Estimation TCs tomorrow morning. If you like to join these drop me a message.
Thanks for the nice first Eastern Hemisphere meeting on Wednesday in which i introduced the workgroup goals, the work done in 2016, and the plans for 2017.
The recording and slides are added to the wiki page for those who are interested.
In the next Eastern Hemisphere meeting (Feb 1th) Seng Chan You will give an presentation on 'The experience of temporal analysis for predicting cardiovascular disease using National Sample Cohort-CDM in Korea ’ The National Sample Cohort data is composed of 1 million population from 2002-213, representing 2% of whole Korean population.
Tomorrow we will have the Eastern Hemisphere meeting (see the wiki for the connection details etc link)
Seng Chan You will give an presentation on 'The experience of temporal analysis for predicting cardiovascular disease using National Sample Cohort-CDM in Korea ’ The National Sample Cohort data is composed of 1 million population from 2002-213, representing 2% of whole Korean population.
Thanks Seng Chan You for the very nice presentation of your work.
It was great to see a very clear clinical prediction question and all its challenges presented this way, e.g., dealing with unbalanced data, temporal data analysis, and optimisation under constraints.
The video and slides are added to the wiki page if anyone wants to join the fun!
Today in the PLP TC i like to discuss the upcoming collaborators face-to-face meeting March 17th link
In this face-to-face we are supposed to have a breakout session of one hour to discuss ongoing work etc all nice, but most importantly there is a hack-a-thon session planed on large scale statistical computing in which we like to work on the code base to increase the processing speed so we can scale up our recent depression proof-of-concept to the all-by-all challenge.
In my view this meeting is only useful and a succes if we can actually improve the code with the available people in our session, i would not like hours of presentations on possible solutions at that meeting. This however requires thinking to be done prior to the meeting next month.
In the TC today, I like to have a discussion on our options , who can contribute, how to prepare for this meeting etc.
Hope you will all be active in moving this discussion forward.
Thanks Eastern Hemisphere Team for the nice TC and Martijn for presenting the FeatureExtraction Package. Let’s work together to add temporal features to the package and do some Deep Learning on this.
The Eastern Hemisphere TC will be canceled tomorrow, because I am in a train in Spain at that moment. Moreover, there is a national Holliday in South Korea.
Tomorrow we have our Eastern Hemisphere PLP meeting.
Sanghyung Jin from Ajou University will give a talk on deep learning:
What is deep learning and why deep learning is powerful
Deep learning’s main architecture (CNN, RNN)
Issues with medical data and related work
Note, I have updated to agenda item sent to you earlier to compensate for
the day-light savings time change in Europe, thus the
time of the TC does not change for most of you.
Eastern Hemisphere time slot:
3 pm Hong Kong / Taiwan
4 pm South Korea
5.30 pm Adelaide
9 am Central European time
8 am UK time