Standard
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications : A Critical Comment on Kaas-Hansen et al [Response to Letter]. / Kaas-Hansen, Benjamin Skov; Leal Rodríguez, Cristina; Placido, Davide; Thorsen-Meyer, Hans-Christian; Nielsen, Anna Pors; Dérian, Nicolas; Brunak, Søren; Andersen, Stig Ejdrup.
In:
Clinical Epidemiology, Vol. 14, 2022, p. 765-766.
Research output: Contribution to journal › Comment/debate › Research
Harvard
Kaas-Hansen, BS, Leal Rodríguez, C
, Placido, D, Thorsen-Meyer, H-C, Nielsen, AP, Dérian, N
, Brunak, S & Andersen, SE 2022, '
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]',
Clinical Epidemiology, vol. 14, pp. 765-766.
https://doi.org/10.2147/CLEP.S375668
APA
Kaas-Hansen, B. S., Leal Rodríguez, C.
, Placido, D., Thorsen-Meyer, H-C., Nielsen, A. P., Dérian, N.
, Brunak, S., & Andersen, S. E. (2022).
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter].
Clinical Epidemiology,
14, 765-766.
https://doi.org/10.2147/CLEP.S375668
Vancouver
Kaas-Hansen BS, Leal Rodríguez C
, Placido D, Thorsen-Meyer H-C, Nielsen AP, Dérian N et al.
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter].
Clinical Epidemiology. 2022;14:765-766.
https://doi.org/10.2147/CLEP.S375668
Author
Kaas-Hansen, Benjamin Skov ; Leal Rodríguez, Cristina ; Placido, Davide ; Thorsen-Meyer, Hans-Christian ; Nielsen, Anna Pors ; Dérian, Nicolas ; Brunak, Søren ; Andersen, Stig Ejdrup. / Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications : A Critical Comment on Kaas-Hansen et al [Response to Letter]. In: Clinical Epidemiology. 2022 ; Vol. 14. pp. 765-766.
Bibtex
@article{e29199aed89f4fe78feb135741a637cf,
title = "Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]",
author = "Kaas-Hansen, {Benjamin Skov} and {Leal Rodr{\'i}guez}, Cristina and Davide Placido and Hans-Christian Thorsen-Meyer and Nielsen, {Anna Pors} and Nicolas D{\'e}rian and S{\o}ren Brunak and Andersen, {Stig Ejdrup}",
year = "2022",
doi = "10.2147/CLEP.S375668",
language = "English",
volume = "14",
pages = "765--766",
journal = "Clinical Epidemiology",
issn = "1179-1349",
publisher = "Dove Medical Press Ltd",
}
RIS
TY - JOUR
T1 - Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications
T2 - A Critical Comment on Kaas-Hansen et al [Response to Letter]
AU - Kaas-Hansen, Benjamin Skov
AU - Leal Rodríguez, Cristina
AU - Placido, Davide
AU - Thorsen-Meyer, Hans-Christian
AU - Nielsen, Anna Pors
AU - Dérian, Nicolas
AU - Brunak, Søren
AU - Andersen, Stig Ejdrup
PY - 2022
Y1 - 2022
U2 - 10.2147/CLEP.S375668
DO - 10.2147/CLEP.S375668
M3 - Comment/debate
C2 - 35707498
VL - 14
SP - 765
EP - 766
JO - Clinical Epidemiology
JF - Clinical Epidemiology
SN - 1179-1349
ER -
