Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study
(2023)
Journal Article
Lee, J., Westphal, M., Vali, Y., Boursier, J., Ostroff, R., Alexander, L., Chen, Y., Fournier, C., Geier, A., Francque, S., Wonders, K., Tiniakos, D., Bedossa, P., Allison, M., Papatheodoridis, G., Cortez-Pinto, H., Pais, R., Dufour, J.-F., Leeming, D. J., Harrison, S., …LITMUS investigators, L. I. (2023). Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study. Hepatology, 78(1), 258-271. https://doi.org/10.1097/HEP.0000000000000364
Background and Aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning t... Read More about Machine learning algorithm improves the detection of NASH (NAS-based) and at-risk NASH: A development and validation study.