@inproceedings{ee416fb44d4749529bbebd924fa09d6b,
title = "Predicting children's myopia risk: a Monte Carlo approach to compare the performance of machine learning models",
abstract = "This study presents the initial results of the Myopia Risk Calculator (MRC) Consortium, introducing an innovative approach to predict myopia risk by using trustworthy machine-learning models. The dataset included approximately 7,945 records (eyes) from 3,989 children. We developed a myopia risk calculator and an accompanying web interface. Central to our research is the challenge of model trustworthiness, specifically evaluating the effectiveness and robustness of AI (Artificial Intelligence)/ML (Machine Learning)/NLP (Nat-ural Language Processing) models. We adopted a robust methodology combining Monte Carlo simulations with cross-validation techniques to assess model performance. Our experiments revealed that an ensemble of classifiers and regression models with Lasso regression techniques provided the best outcomes for predicting myopia risk. Future research aims to enhance model accuracy by integrating image and synthetic data, including advanced Monte Carlo simulations.",
keywords = "Data Analysis, Lasso Regression, Machine Learning, Monte Carlo Simulations, Myopia Prediction",
author = "Piotr Artiemjew and Rados{\l}aw Cybulski and Emamian, {Mohammad Hassan} and Andrzej Grzybowski and Andrzej Jankowski and Carla Lanca and Shiva Mehravaran and Marcin M{\l}y{\'n}ski and Cezary Morawski and Klaus Nordhausen and Olavi P{\"a}rssinen and Krzysztof Ropiak",
note = "Funding Information: Shahroud School Children Eye Cohort Study is funded by the Noor Ophthalmology Research Center and Shahroud University of Medical Sciences. (Grant numbers: 9329, 960351). The experiments were carried out, among others, by UWM MSc students Mateusz \u015Aliwi\u0144ski, Andrzej Strzeszewski, Adam Jankowiak, Micha\u0142 Domian, Pawe\u0142 Budzi\u0144ski, Bartosz \u0106wiek, Jakub Przyborowski, Jakub Kasja-niuk. Publisher Copyright: {\textcopyright} 2024 by SCITEPRESS - Science and Technology Publications, Lda.; 16th International Conference on Agents and Artificial Intelligence, ICAART 2024 ; Conference date: 24-02-2024 Through 26-02-2024",
year = "2024",
doi = "10.5220/0012435500003636",
language = "English",
isbn = "978-989-758-680-4",
volume = "3",
series = "International Conference on Agents and Artificial Intelligence",
publisher = "SciTePress - Science and Technology Publications",
pages = "1092--1099",
editor = "AP Rocha and L Steels and J Herik",
booktitle = "Proceedings of the 16th International Conference on Agents and Artificial Intelligence",
address = "Portugal",
}