Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass

Cecilia E. Thomas; Violeta Raverdi; Helle Krogh Pedersen; Johann Gassenhuber; Caroline Brorsson; Valborg Gudmundsdottir; Ana Vinuela; Cedric Howald; Han Wu; Karina Banasik; Loic Yengo; Mark Haid; Melissa K. Thomas; Michaela Hinterholzer; Mickael Canouil; Mun Gwan Hong; Peter Davidsen; Ramneek Gupta; Sapna Sharma; Simone Wahl; Emmanouil T. Dermitzakis; Harald Grallert; Jochen M. Schwenk; Mark Farmen; Soren Brunak; Francois Pattou; The DIRECT consortium

doi:10.2337/db17-1871-2152

Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass

Cecilia E. Thomas
, Violeta Raverdi
, Helle Krogh Pedersen
, Johann Gassenhuber
, Caroline Brorsson
, Valborg Gudmundsdottir
, Ana Vinuela
, Cedric Howald
, Han Wu
, Karina Banasik
, Loic Yengo
, Mark Haid
, Melissa K. Thomas
, Michaela Hinterholzer
, Mickael Canouil
, Mun Gwan Hong
, Peter Davidsen
, Ramneek Gupta
, Sapna Sharma
, Simone Wahl

Emmanouil T. Dermitzakis, Harald Grallert, Jochen M. Schwenk, Mark Farmen, Soren Brunak, Francois Pattou, The DIRECT consortium

Population Health and Genomics

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

Original language	English
Article number	2090-P
Pages (from-to)	A549-A549
Number of pages	1
Journal	Diabetes
Volume	66
Issue number	Supplement 1
DOIs	https://doi.org/10.2337/db17-1871-2152
Publication status	Published - 1 Jun 2017
Event	American Diabetes Association 77th Scientific Sessions - San Diego, United States Duration: 9 Jun 2017 → 13 Jun 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.2337/db17-1871-2152

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Thomas, C. E., Raverdi, V., Pedersen, H. K., Gassenhuber, J., Brorsson, C., Gudmundsdottir, V., Vinuela, A., Howald, C., Wu, H., Banasik, K., Yengo, L., Haid, M., Thomas, M. K., Hinterholzer, M., Canouil, M., Hong, M. G., Davidsen, P., Gupta, R., Sharma, S., ... The DIRECT consortium (2017). Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass. Diabetes, 66(Supplement 1), A549-A549. Article 2090-P. https://doi.org/10.2337/db17-1871-2152

@article{b53f059e7b78422b99be2ddeeb9bb34d,

title = "Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass",

author = "Thomas, \{Cecilia E.\} and Violeta Raverdi and Pedersen, \{Helle Krogh\} and Johann Gassenhuber and Caroline Brorsson and Valborg Gudmundsdottir and Ana Vinuela and Cedric Howald and Han Wu and Karina Banasik and Loic Yengo and Mark Haid and Thomas, \{Melissa K.\} and Michaela Hinterholzer and Mickael Canouil and Hong, \{Mun Gwan\} and Peter Davidsen and Ramneek Gupta and Sapna Sharma and Simone Wahl and Dermitzakis, \{Emmanouil T.\} and Harald Grallert and Schwenk, \{Jochen M.\} and Mark Farmen and Soren Brunak and Francois Pattou and \{The DIRECT consortium\}",

year = "2017",

month = jun,

day = "1",

doi = "10.2337/db17-1871-2152",

language = "English",

volume = "66",

pages = "A549--A549",

journal = "Diabetes",

issn = "0012-1797",

publisher = "American Diabetes Association Inc.",

number = "Supplement 1",

note = "American Diabetes Association 77th Scientific Sessions ; Conference date: 09-06-2017 Through 13-06-2017",

}

Thomas, CE, Raverdi, V, Pedersen, HK, Gassenhuber, J, Brorsson, C, Gudmundsdottir, V, Vinuela, A, Howald, C, Wu, H, Banasik, K, Yengo, L, Haid, M, Thomas, MK, Hinterholzer, M, Canouil, M, Hong, MG, Davidsen, P, Gupta, R, Sharma, S, Wahl, S, Dermitzakis, ET, Grallert, H, Schwenk, JM, Farmen, M, Brunak, S, Pattou, F & The DIRECT consortium 2017, 'Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass', Diabetes, vol. 66, no. Supplement 1, 2090-P, pp. A549-A549. https://doi.org/10.2337/db17-1871-2152

TY - JOUR

T1 - Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass

AU - Thomas, Cecilia E.

AU - Raverdi, Violeta

AU - Pedersen, Helle Krogh

AU - Gassenhuber, Johann

AU - Brorsson, Caroline

AU - Gudmundsdottir, Valborg

AU - Vinuela, Ana

AU - Howald, Cedric

AU - Wu, Han

AU - Banasik, Karina

AU - Yengo, Loic

AU - Haid, Mark

AU - Thomas, Melissa K.

AU - Hinterholzer, Michaela

AU - Canouil, Mickael

AU - Hong, Mun Gwan

AU - Davidsen, Peter

AU - Gupta, Ramneek

AU - Sharma, Sapna

AU - Wahl, Simone

AU - Dermitzakis, Emmanouil T.

AU - Grallert, Harald

AU - Schwenk, Jochen M.

AU - Farmen, Mark

AU - Brunak, Soren

AU - Pattou, Francois

AU - The DIRECT consortium

PY - 2017/6/1

Y1 - 2017/6/1

UR - https://publons.com/wos-op/publon/10733150/

UR - https://diabetesjournals.org/diabetes/article/66/Supplement_1/A496/16189/Integrated-Physiology-Obesity

U2 - 10.2337/db17-1871-2152

DO - 10.2337/db17-1871-2152

M3 - Article

SN - 0012-1797

VL - 66

SP - A549-A549

JO - Diabetes

JF - Diabetes

IS - Supplement 1

M1 - 2090-P

T2 - American Diabetes Association 77th Scientific Sessions

Y2 - 9 June 2017 through 13 June 2017

ER -

Machine-Learning Algorithm Predicts Early Type 2 Diabetes Remission following Roux-en-Y Gastric Bypass

UN SDGs

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