Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases

doi:10.3748/wjg.v28.i44.6230

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Nov 28, 2022; 28(44): 6230-6248
Published online Nov 28, 2022. doi: 10.3748/wjg.v28.i44.6230

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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

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 [PMID: 36504554 DOI: 10.3748/wjg.v28.i44.6230]

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