Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

Yogesh Kumar; Henri Salo; Tuomo Nieminen; Kristian Vepsäläinen; Sangita Kulathinal; Pekka Marttinen

Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

Yogesh Kumar, Henri Salo, Tuomo Nieminen, Kristian Vepsäläinen, Sangita Kulathinal, Pekka Marttinen

Finnish Institute for Health and Welfare (THL)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	English
Title of host publication	Machine Learning for Health (ML4H) at NeurIPS 2019
Publisher	JMLR
Pages	93-111
Publication status	Published - 2020
MoE publication type	A4 Conference publication
Event	Conference on Neural Information Processing Systems - Vancouver, Canada Duration: 8 Dec 2019 → 14 Dec 2019 Conference number: 33 https://neurips.cc

Publication series

Name	Conference on Neural Information Processing Systems
Publisher	Proceedings of Machine Learning Research
ISSN (Electronic)	1938-7228

Conference

Conference	Conference on Neural Information Processing Systems
Abbreviated title	NeurIPS
Country/Territory	Canada
City	Vancouver
Period	08/12/2019 → 14/12/2019
Internet address	https://neurips.cc

Access to Document

Science-IT
Hakala, M. (Manager)
School of Science
Facility/equipment: Facility

Cite this

Kumar, Y., Salo, H., Nieminen, T., Vepsäläinen, K., Kulathinal, S., & Marttinen, P. (2020). Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention. In Machine Learning for Health (ML4H) at NeurIPS 2019 (pp. 93-111). (Conference on Neural Information Processing Systems). JMLR. https://ml4health.github.io/2019/pdf/124_ml4h_preprint.pdf

@inproceedings{f51befeff1b6469f99112b4f28072f29,

title = "Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention",

author = "Yogesh Kumar and Henri Salo and Tuomo Nieminen and Kristian Veps{\"a}l{\"a}inen and Sangita Kulathinal and Pekka Marttinen",

year = "2020",

language = "English",

series = "Conference on Neural Information Processing Systems",

publisher = "JMLR",

pages = "93--111",

booktitle = "Machine Learning for Health (ML4H) at NeurIPS 2019",

address = "United States",

note = "Conference on Neural Information Processing Systems, NeurIPS ; Conference date: 08-12-2019 Through 14-12-2019",

url = "https://neurips.cc",

}

Kumar, Y, Salo, H, Nieminen, T, Vepsäläinen, K, Kulathinal, S & Marttinen, P 2020, Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention. in Machine Learning for Health (ML4H) at NeurIPS 2019. Conference on Neural Information Processing Systems, JMLR, pp. 93-111, Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, 08/12/2019. <https://ml4health.github.io/2019/pdf/124_ml4h_preprint.pdf>

Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention. / Kumar, Yogesh; Salo, Henri; Nieminen, Tuomo et al.
Machine Learning for Health (ML4H) at NeurIPS 2019. JMLR, 2020. p. 93-111 (Conference on Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

AU - Kumar, Yogesh

AU - Salo, Henri

AU - Nieminen, Tuomo

AU - Vepsäläinen, Kristian

AU - Kulathinal, Sangita

AU - Marttinen, Pekka

N1 - Conference code: 33

PY - 2020

Y1 - 2020

M3 - Conference article in proceedings

T3 - Conference on Neural Information Processing Systems

SP - 93

EP - 111

BT - Machine Learning for Health (ML4H) at NeurIPS 2019

PB - JMLR

T2 - Conference on Neural Information Processing Systems

Y2 - 8 December 2019 through 14 December 2019

ER -

Predicting utilization of healthcare services from individual disease trajectories using RNNs with multi-headed attention

Publication series

Conference

Access to Document

Equipment

Science-IT

Cite this