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.
* (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