Copyright
©The Author(s) 2022.
World J Gastroenterol. Nov 28, 2022; 28(44): 6230-6248
Published online Nov 28, 2022. doi: 10.3748/wjg.v28.i44.6230
Published online Nov 28, 2022. doi: 10.3748/wjg.v28.i44.6230
Figure 1 Factors involved in the development of chronic liver disease triggering associated processes that lead to increased fibrosis stage.
Figure 2 Data implicated in the onset of inflammatory-related liver diseases can be used to train machine learning algorithms for prediction, diagnosis, treatment, and prognosis of chronic liver disease, leading the way to personalized medicine.
- Citation: Martínez JA, Alonso-Bernáldez M, Martínez-Urbistondo D, Vargas-Nuñez JA, Ramírez de Molina A, Dávalos A, Ramos-Lopez O. Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases. World J Gastroenterol 2022; 28(44): 6230-6248
- URL: https://www.wjgnet.com/1007-9327/full/v28/i44/6230.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i44.6230