output
20142019
most citedMedical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

115 citations

5 papers

cs.LG2019★ 7 cited

TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records

Ardavan Afshar, Ioakeim Perros, Haesun Park +5

Phenotyping electronic health records (EHR) focuses on defining meaningful patient groups (e.g., heart failure group and diabetes group) and identifying the temporal evolution of p…

cs.LG2018★ 2 cited

SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park +5

This paper presents a new method, which we call SUSTain, that extends real-valued matrix and tensor factorizations to data where values are integers. Such data are common when the…

cs.LG2016★ 98 cited

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Edward Choi, Mohammad Taha Bahadori, Le Song +2

Deep learning methods exhibit promising performance for predictive modeling in healthcare, but two important challenges remain: -Data insufficiency:Often in healthcare predictive m…

cs.LG2016★ 115 cited

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

Edward Choi, Andy Schuetz, Walter F. Stewart +1

Objective: To transform heterogeneous clinical data from electronic health records into clinically meaningful constructed features using data driven method that rely, in part, on t…

astro-ph.SR2014★ 16 cited

OT J075418.7+381225 and OT J230425.8+062546: Promising Candidates for the Period Bouncer

Chikako Nakata, Taichi Kato, Daisaku Nogami +15

We report on photometric observations of two dwarf novae, OT J075418.7+381225 and OT J230425.8+062546, which underwent superoutburst in 2013 (OT J075418) and in 2011 (OT J230425).…