@inproceedings{16b43c0159d74417b69acc29d73347ce,
title = "Disentangling Blood-Based Markers of Multiple Sclerosis Through Machine Learning: An Evaluation Study",
abstract = "Studies of blood-based markers in multiple sclerosis using machine learning for classification use widely varying methods. Here different configurations of machine learning algorithms, feature selection methods, and evaluation approaches were compared. Logistic Regression with Random Forests for feature selection and 10-fold cross-validation classified best, features depended on selection methods, and cross-validation data splits were heterogeneous. This suggests experimental setups influence classification and selected markers.",
keywords = "Biomarker, Blood, Evaluation Study, Multiple Sclerosis",
author = "Robin Vlieger and Rizia, \{Mst Mousumi\} and Abolfazl Amjadipour and Nicolas Cherbuin and Anne Br{\"u}stle and Hanna Suominen",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 20th World Congress on Medical and Health Informatics, MEDINFO 2025 ; Conference date: 09-08-2025 Through 13-08-2025",
year = "2025",
month = aug,
day = "7",
doi = "10.3233/SHTI251204",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1766--1767",
editor = "Househ, \{Mowafa S.\} and Househ, \{Mowafa S.\} and Tariq, \{Zain Ul Abideen\} and Mahmood Al-Zubaidi and Uzair Shah and Elaine Huesing",
booktitle = "MEDINFO 2025 - Healthcare Smart x Medicine Deep",
address = "Netherlands",
}