TY - JOUR
KW - Humans
KW - Retrospective Studies
KW - Blood Cell Count
KW - *Ambulatory Care Facilities
KW - *Headache/diagnosis
KW - machine learning
AU - F. Yang
AU - T. Meng
AU - B. Torben-Nielsen
AU - C. Magnus
AU - C. Liu
AU - E. Dejean
AD - Roche Information Solutions, F. Hoffmann-La Roche AG, Basel, Switzerland.
Roche Molecular Systems, Santa Clara, California, United States of America.
Product Development Data and Statistical Sciences, Real World Data Enabling Platform, F. Hoffmann-La Roche AG, Basel, Switzerland.
Roche Diagnostics International Ltd, Rotkreuz, Switzerland.
AN - 36877693
BT - PLoS One
C2 - PMC9987784 following competing interests: FY, TM, BT-N and CM are employees of Roche. CL and ED were employees of Roche at the time the study was conducted. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
DO - 10.1371/journal.pone.0282237
DP - NLM
ET - 2023/03/07
LA - eng
M1 - 3
N1 - 1932-6203
Yang, Fei
Orcid: 0000-0002-7382-8023
Meng, Tong
Torben-Nielsen, Ben
Magnus, Carsten
Liu, Chuang
Dejean, Emilie
Journal Article
United States
PLoS One. 2023 Mar 6;18(3):e0282237. doi: 10.1371/journal.pone.0282237. eCollection 2023.
PY - 2023
SN - 1932-6203
EP - e0282237
T2 - PLoS One
TI - A machine learning approach to support triaging of primary versus secondary headache patients using complete blood count
VL - 18
ER -