Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

Finn Gen; Essi Viippola; Sara Kuitunen; Rodosthenis S. Rodosthenous; Andrius Vabalas; Tuomo Hartonen; Pekka Vartiainen; Joanne Demmler; Anna-Leena Vuorinen; Aoxing Liu; Aki S. Havulinna; Vincent Llorens; Kira E. Detrois; Feiyi Wang; Matteo Ferro; Antti Karvanen; Jakob German; Sakari Jukarainen; Javier Gracia-Tabuenca; Tero Hiekkalinna; Sami Koskelainen; Tuomo Kiiskinen; Elisa Lahtela; Susanna Lemmelä; Teemu Paajanen; Harri Siirtola; Mary Pat Reeve; Kati Kristiansson; Minna Brunfeldt; Mervi Aavikko; Markus Perola; Andrea Ganna; Jaakko Kaprio; Antti Mäkitie; Pentti Tienari

doi:10.1093/ije/dyad091

Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

Finn Gen, Essi Viippola, Sara Kuitunen, Rodosthenis S. Rodosthenous, Andrius Vabalas, Tuomo Hartonen, Pekka Vartiainen, Joanne Demmler, Anna-Leena Vuorinen, Aoxing Liu, Aki S. Havulinna, Vincent Llorens, Kira E. Detrois, Feiyi Wang, Matteo Ferro, Antti Karvanen, Jakob German, Sakari Jukarainen, Javier Gracia-Tabuenca, Tero HiekkalinnaSami Koskelainen, Tuomo Kiiskinen, Elisa Lahtela, Susanna Lemmelä, Teemu Paajanen, Harri Siirtola, Mary Pat Reeve, Kati Kristiansson, Minna Brunfeldt, Mervi Aavikko, Markus Perola, Andrea Ganna, Jaakko Kaprio, Antti Mäkitie, Pentti Tienari

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Journal	International Journal of Epidemiology
Volume	52
Issue number	4
Pages (from-to)	e195–e200
Number of pages	6
ISSN	0300-5771
DOIs	https://doi.org/10.1093/ije/dyad091
Publication status	Published - 2 Aug 2023
MoE publication type	A1 Journal article-refereed

Fields of Science

Models
3142 Public health care science, environmental and occupational health

Access to Document

10.1093/ije/dyad091

dyad091Final published version, 733 KBLicence: CC BY
201153

Cite this

Finn Gen, Viippola, E., Kuitunen, S., Rodosthenous, R. S., Vabalas, A., Hartonen, T., Vartiainen, P., Demmler, J., Vuorinen, A.-L., Liu, A., Havulinna, A. S., Llorens, V., Detrois, K. E., Wang, F., Ferro, M., Karvanen, A., German, J., Jukarainen, S., Gracia-Tabuenca, J., ... Tienari, P. (2023). Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry). International Journal of Epidemiology, 52(4), e195–e200. https://doi.org/10.1093/ije/dyad091

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title = "Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)",

keywords = "Models, 3142 Public health care science, environmental and occupational health",

author = "{Finn Gen} and Essi Viippola and Sara Kuitunen and Rodosthenous, {Rodosthenis S.} and Andrius Vabalas and Tuomo Hartonen and Pekka Vartiainen and Joanne Demmler and Anna-Leena Vuorinen and Aoxing Liu and Havulinna, {Aki S.} and Vincent Llorens and Detrois, {Kira E.} and Feiyi Wang and Matteo Ferro and Antti Karvanen and Jakob German and Sakari Jukarainen and Javier Gracia-Tabuenca and Tero Hiekkalinna and Sami Koskelainen and Tuomo Kiiskinen and Elisa Lahtela and Susanna Lemmel{\"a} and Teemu Paajanen and Harri Siirtola and Reeve, {Mary Pat} and Kati Kristiansson and Minna Brunfeldt and Mervi Aavikko and Markus Perola and Andrea Ganna and Jaakko Kaprio and Antti M{\"a}kitie and Pentti Tienari",

year = "2023",

month = aug,

day = "2",

doi = "10.1093/ije/dyad091",

language = "English",

volume = "52",

pages = "e195–e200",

journal = "International Journal of Epidemiology",

issn = "0300-5771",

publisher = "Oxford University Press",

number = "4",

}

Finn Gen, Viippola, E, Kuitunen, S, Rodosthenous, RS, Vabalas, A, Hartonen, T, Vartiainen, P, Demmler, J , Vuorinen, A-L , Liu, A , Havulinna, AS , Llorens, V, Detrois, KE, Wang, F, Ferro, M, Karvanen, A, German, J, Jukarainen, S, Gracia-Tabuenca, J, Hiekkalinna, T, Koskelainen, S, Kiiskinen, T , Lahtela, E , Lemmelä, S, Paajanen, T, Siirtola, H, Reeve, MP, Kristiansson, K, Brunfeldt, M, Aavikko, M , Perola, M , Ganna, A , Kaprio, J , Mäkitie, A & Tienari, P 2023, 'Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)', International Journal of Epidemiology, vol. 52, no. 4, pp. e195–e200. https://doi.org/10.1093/ije/dyad091

TY - JOUR

T1 - Data Resource Profile

T2 - Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

AU - Finn Gen

AU - Viippola, Essi

AU - Kuitunen, Sara

AU - Rodosthenous, Rodosthenis S.

AU - Vabalas, Andrius

AU - Hartonen, Tuomo

AU - Vartiainen, Pekka

AU - Demmler, Joanne

AU - Vuorinen, Anna-Leena

AU - Liu, Aoxing

AU - Havulinna, Aki S.

AU - Llorens, Vincent

AU - Detrois, Kira E.

AU - Wang, Feiyi

AU - Ferro, Matteo

AU - Karvanen, Antti

AU - German, Jakob

AU - Jukarainen, Sakari

AU - Gracia-Tabuenca, Javier

AU - Hiekkalinna, Tero

AU - Koskelainen, Sami

AU - Kiiskinen, Tuomo

AU - Lahtela, Elisa

AU - Lemmelä, Susanna

AU - Paajanen, Teemu

AU - Siirtola, Harri

AU - Reeve, Mary Pat

AU - Kristiansson, Kati

AU - Brunfeldt, Minna

AU - Aavikko, Mervi

AU - Perola, Markus

AU - Ganna, Andrea

AU - Kaprio, Jaakko

AU - Mäkitie, Antti

AU - Tienari, Pentti

PY - 2023/8/2

Y1 - 2023/8/2

KW - Models

KW - 3142 Public health care science, environmental and occupational health

U2 - 10.1093/ije/dyad091

DO - 10.1093/ije/dyad091

M3 - Article

C2 - 37365732

SN - 0300-5771

VL - 52

SP - e195–e200

JO - International Journal of Epidemiology

JF - International Journal of Epidemiology

IS - 4

ER -