Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia

Rikke L. Nielsen; Benjamin O. Wolthers; Marianne Helenius; Birgitte K. Albertsen; Line Clemmensen; Kasper Nielsen; Jukka Kanerva; Riitta Niinimäki; Thomas L. Frandsen; Andishe Attarbaschi; Shlomit Barzilai; Antonella Colombini; Gabriele Escherich; Derya Aytan-Aktug; Hsi Che Liu; Anja Möricke; Sujith Samarasinghe; Inge M. Van Der Sluis; Martin Stanulla; Morten Tulstrup; Rachita Yadav; Ester Zapotocka; Kjeld Schmiegelow; Ramneek Gupta

doi:10.1097/MPH.0000000000002292

Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia

Rikke L. Nielsen, Benjamin O. Wolthers, Marianne Helenius, Birgitte K. Albertsen, Line Clemmensen, Kasper Nielsen, Jukka Kanerva, Riitta Niinimäki, Thomas L. Frandsen, Andishe Attarbaschi, Shlomit Barzilai, Antonella Colombini, Gabriele Escherich, Derya Aytan-Aktug, Hsi Che Liu, Anja Möricke, Sujith Samarasinghe, Inge M. Van Der Sluis, Martin Stanulla, Morten TulstrupRachita Yadav, Ester Zapotocka, Kjeld Schmiegelow, Ramneek Gupta

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

Original language	English
Journal	Journal of pediatric hematology/oncology
Volume	44
Issue number	3
Pages (from-to)	E628-E636
Number of pages	9
ISSN	1077-4114
DOIs	https://doi.org/10.1097/MPH.0000000000002292
Publication status	Published - Apr 2022
MoE publication type	A1 Journal article-refereed

Bibliographical note

Publisher Copyright:
© 2021 Lippincott Williams and Wilkins. All rights reserved.

Fields of Science

3122 Cancers
acute lymphoblastic leukemia
artificial intelligence
pediatric hematology/oncology
translational research
treatment toxicity
POLYMORPHISMS
RISK
PRSS1-PRSS2
TOXICITY
pediatric hematology
oncology

Access to Document

10.1097/MPH.0000000000002292

Can_Machine_Learning_Models_Predict.14Final published version, 428 KBLicence: CC BY-NC-ND

Cite this

Nielsen, R. L., Wolthers, B. O., Helenius, M., Albertsen, B. K., Clemmensen, L., Nielsen, K., Kanerva, J., Niinimäki, R., Frandsen, T. L., Attarbaschi, A., Barzilai, S., Colombini, A., Escherich, G., Aytan-Aktug, D., Liu, H. C., Möricke, A., Samarasinghe, S., Van Der Sluis, I. M., Stanulla, M., ... Gupta, R. (2022). Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia. Journal of pediatric hematology/oncology, 44(3), E628-E636. https://doi.org/10.1097/MPH.0000000000002292

@article{ae931233eed845f69dcb9fce83b0909c,

title = "Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia",

keywords = "3122 Cancers, acute lymphoblastic leukemia, artificial intelligence, pediatric hematology/oncology, translational research, treatment toxicity, POLYMORPHISMS, RISK, PRSS1-PRSS2, TOXICITY, pediatric hematology, oncology",

author = "Nielsen, {Rikke L.} and Wolthers, {Benjamin O.} and Marianne Helenius and Albertsen, {Birgitte K.} and Line Clemmensen and Kasper Nielsen and Jukka Kanerva and Riitta Niinim{\"a}ki and Frandsen, {Thomas L.} and Andishe Attarbaschi and Shlomit Barzilai and Antonella Colombini and Gabriele Escherich and Derya Aytan-Aktug and Liu, {Hsi Che} and Anja M{\"o}ricke and Sujith Samarasinghe and {Van Der Sluis}, {Inge M.} and Martin Stanulla and Morten Tulstrup and Rachita Yadav and Ester Zapotocka and Kjeld Schmiegelow and Ramneek Gupta",

year = "2022",

month = apr,

doi = "10.1097/MPH.0000000000002292",

language = "English",

volume = "44",

pages = "E628--E636",

journal = "Journal of pediatric hematology/oncology",

issn = "1077-4114",

publisher = "Lippincott Williams and Wilkins",

number = "3",

}

Nielsen, RL, Wolthers, BO, Helenius, M, Albertsen, BK, Clemmensen, L, Nielsen, K, Kanerva, J, Niinimäki, R, Frandsen, TL, Attarbaschi, A, Barzilai, S, Colombini, A, Escherich, G, Aytan-Aktug, D, Liu, HC, Möricke, A, Samarasinghe, S, Van Der Sluis, IM, Stanulla, M, Tulstrup, M, Yadav, R, Zapotocka, E, Schmiegelow, K & Gupta, R 2022, 'Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia', Journal of pediatric hematology/oncology, vol. 44, no. 3, pp. E628-E636. https://doi.org/10.1097/MPH.0000000000002292

TY - JOUR

T1 - Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia

AU - Nielsen, Rikke L.

AU - Wolthers, Benjamin O.

AU - Helenius, Marianne

AU - Albertsen, Birgitte K.

AU - Clemmensen, Line

AU - Nielsen, Kasper

AU - Kanerva, Jukka

AU - Niinimäki, Riitta

AU - Frandsen, Thomas L.

AU - Attarbaschi, Andishe

AU - Barzilai, Shlomit

AU - Colombini, Antonella

AU - Escherich, Gabriele

AU - Aytan-Aktug, Derya

AU - Liu, Hsi Che

AU - Möricke, Anja

AU - Samarasinghe, Sujith

AU - Van Der Sluis, Inge M.

AU - Stanulla, Martin

AU - Tulstrup, Morten

AU - Yadav, Rachita

AU - Zapotocka, Ester

AU - Schmiegelow, Kjeld

AU - Gupta, Ramneek

PY - 2022/4

Y1 - 2022/4

KW - 3122 Cancers

KW - acute lymphoblastic leukemia

KW - artificial intelligence

KW - pediatric hematology/oncology

KW - translational research

KW - treatment toxicity

KW - POLYMORPHISMS

KW - RISK

KW - PRSS1-PRSS2

KW - TOXICITY

KW - pediatric hematology

KW - oncology

UR - http://www.scopus.com/inward/record.url?scp=85117820186&partnerID=8YFLogxK

U2 - 10.1097/MPH.0000000000002292

DO - 10.1097/MPH.0000000000002292

M3 - Article

AN - SCOPUS:85117820186

SN - 1077-4114

VL - 44

SP - E628-E636

JO - Journal of pediatric hematology/oncology

JF - Journal of pediatric hematology/oncology

IS - 3

ER -

Can Machine Learning Models Predict Asparaginase-associated Pancreatitis in Childhood Acute Lymphoblastic Leukemia

Bibliographical note

Fields of Science

Access to Document

Other files and links

Cite this