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SeoulAI MDML - Journal Reading Day 2

May 14, 2019 · Teheran-ro 14-gil, South Korea

SeoulAI MDML group starts journal reading day to catch up with recent technical trends in medical data and deep learning.

Please refer to this page for detailed information.

## Sessions

* (30min) Multi-layer Representation Learning for Medical Concepts, E. Choi et al. 2016. https://www.kdd.org/kdd2016/papers/files/rpp0303-choiA.pdf
Kiha Shin, Lead Data Scientist, AETNA

* (30min) High-throughput Phenotyping with Temporal Sequences, H. Estiri et al. 2019. https://www.biorxiv.org/content/biorxiv/early/2019/03/28/590307.full-text.pdf
Taehwan Yoon, Ph.d., YWMobile

* (30min) Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins, Y. Zhu et al. 2016.
Ryoung Woo, Engineer, Algorithm Development, BISTel

* (30min) Natural Language Processing for EHR-Based Computational Phenotyping, Z. Zeng et al. 2018
Grace Lee, M.S., SNU Database Systems Lab

Event organizers
  • Seoul Artificial Intelligence

    This is a group for Artificial Intelligence enthusiasts willing to go the extra mile in becoming one of the best in their field. We are going to work on Machine Learning projects in small groups and help each other to overcome issues that could come up on the way. We are open for everybody, however for inexperienced participants it could be hard to follow since there will be no designated teacher who would help you to keep up. List of previous meetups with related presentations and links can be find at htt

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