Application of machine learning in predicting non-alcoholic fatty liver … – Nature.com

Aggarwal, A., Puri, K., Thangada, S., Zein, N. & Alkhouri, N. Nonalcoholic fatty liver disease in children: Recent practice guidelines, where do they take us?. Curr. Pediatr. Rev. 10(2), 151161 (2014).

Article CAS PubMed Google Scholar

Khashab, M. A., Liangpunsakul, S. & Chalasani, N. Nonalcoholic fatty liver disease as a component of the metabolic syndrome. Curr. Gastroenterol. Rep. 10(1), 7380 (2008).

Article PubMed Google Scholar

Wagenknecht, L. E. et al. Correlates and heritability of nonalcoholic fatty liver disease in a minority cohort. Obesity 17(6), 12401246 (2009).

Article CAS PubMed Google Scholar

Abdelmalek, M. F. & Diehl, A. M. Nonalcoholic fatty liver disease as a complication of insulin resistance. Med. Clin. North Am. 91(6), 11251149 (2007).

Article CAS PubMed Google Scholar

Mili, S. & timac, D. Nonalcoholic fatty liver disease/steatohepatitis: Epidemiology, pathogenesis, clinical presentation and treatment. Dig. Dis. 30(2), 158162 (2012).

Article PubMed Google Scholar

Clark, J. M., Brancati, F. L. & Diehl, A. M. The prevalence and etiology of elevated aminotransferase levels in the United States. Am. J. Gastroenterol. 98(5), 960967 (2003).

Article CAS PubMed Google Scholar

Kim, W. R., Brown, R. S. Jr., Terrault, N. A. & El-Serag, H. Burden of liver disease in the United States: Summary of a workshop. Hepatology 36(1), 227242 (2002).

Article PubMed Google Scholar

McCullough, A. J. Pathophysiology of nonalcoholic steatohepatitis. J. Clin. Gastroenterol. 40, S17S29 (2006).

CAS PubMed Google Scholar

Chalasani, N. et al. The diagnosis and management of non-alcoholic fatty liver disease: Practice Guideline by the American Association for the Study of Liver Diseases, American College of Gastroenterology, and the American Gastroenterological Association. Hepatology 55(6), 20052023 (2012).

Article PubMed Google Scholar

Ertle, J. et al. Non-alcoholic fatty liver disease progresses to hepatocellular carcinoma in the absence of apparent cirrhosis. Int. J. Cancer 128(10), 24362443 (2011).

Article CAS PubMed Google Scholar

Bellentani, S. & Marino, M. Epidemiology and natural history of non-alcoholic liver disease (NAFLD). Ann. Hepatol. 8(S1), 48 (2009).

Article Google Scholar

Patton, H. M. et al. Pediatric nonalcoholic fatty liver disease: A critical appraisal of current data and implications for future research. J. Pediatr. Gastroenterol. Nutr. 43(4), 413427 (2006).

Article PubMed Google Scholar

Shiotani, A., Motoyama, M., Matsuda, T. & Miyanishi, T. Brachial-ankle pulse wave velocity in Japanese university students. Intern. Med. 44(7), 696701 (2005).

Article PubMed Google Scholar

Razmpour, F., Abbasi, B. & Ganji, A. Evaluating the accuracy and sensitivity of anthropometric and laboratory variables in diagnosing the liver steatosis and fibrosis in adolescents with non-alcoholic fatty liver disease. J. Liver Res. Disord. Ther. 4(3), 121125 (2018).

Article Google Scholar

Bellentani, S. et al. Prevalence of and risk factors for hepatic steatosis in Northern Italy. Ann. Intern. Med. 132(2), 112119 (2000).

Article CAS PubMed Google Scholar

Omagari, K. et al. Fatty liver in non-alcoholic non-overweight Japanese adults: Incidence and clinical characteristics. J. Gastroenterol. Hepatol. 17(10), 10981105 (2002).

Article PubMed Google Scholar

Shaw, N. J., Crabtree, N. J., Kibirige, M. S. & Fordham, J. N. Ethnic and gender differences in body fat in British schoolchildren as measured by DXA. Arch. Dis. Child. 92(10), 872875 (2007).

Article PubMed PubMed Central Google Scholar

Chumlea, W. C., Siervogel, R., Roche, A. F., Webb, P. & Rogers, E. Increments across age in body composition for children 10 to 18 years of age. Hum. Biol. 55, 845852 (1983).

CAS PubMed Google Scholar

Van der Sluis, I., De Ridder, M., Boot, A., Krenning, E. & de Muinck, K.-S. Reference data for bone density and body composition measured with dual energy x ray absorptiometry in white children and young adults. Arch. Dis. Child. 87(4), 341347 (2002).

Article PubMed PubMed Central Google Scholar

Alferink, L. J. M. et al. Nonalcoholic fatty liver disease in the Rotterdam study: About muscle mass, sarcopenia, fat mass, and fat distribution. J. Bone Miner. Res. 34(7), 12541263 (2019).

Article CAS PubMed Google Scholar

He, Q. et al. Sex and race differences in fat distribution among Asian, African-American, and Caucasian prepubertal children. J. Clin. Endocrinol. Metab. 87(5), 21642170 (2002).

Article CAS PubMed Google Scholar

Pudowski, P., Matusik, H., Olszaniecka, M., Lebiedowski, M. & Lorenc, R. S. Reference values for the indicators of skeletal and muscular status of healthy Polish children. J. Clin. Densitom. 8(2), 164177 (2005).

Article PubMed Google Scholar

Yang, K. C. et al. Association of non-alcoholic fatty liver disease with metabolic syndrome independently of central obesity and insulin resistance. Sci. Rep. 6(1), 110 (2016).

Google Scholar

Balakrishnan, M. et al. Obesity and risk of nonalcoholic fatty liver disease: A comparison of bioelectrical impedance analysis and conventionally-derived anthropometric measures. Clin. Gastroenterol. Hepatol. 15(12), 19651967 (2017).

Article PubMed PubMed Central Google Scholar

Brambilla, P., Bedogni, G., Heo, M. & Pietrobelli, A. Waist circumference-to-height ratio predicts adiposity better than body mass index in children and adolescents. Int. J. Obes. 37(7), 943946 (2013).

Article CAS Google Scholar

Huang, B.-A. et al. Neck circumference, along with other anthropometric indices, has an independent and additional contribution in predicting fatty liver disease. PLoSOne 10(2), e0118071 (2015).

Article PubMed PubMed Central Google Scholar

Sookoian, S. & Pirola, C. J. Systematic review with meta-analysis: Risk factors for non-alcoholic fatty liver disease suggest a shared altered metabolic and cardiovascular profile between lean and obese patients. Aliment. Pharmacol. Ther. 46(2), 8595 (2017).

Article CAS PubMed Google Scholar

Stabe, C. et al. Neck circumference as a simple tool for identifying the metabolic syndrome and insulin resistance: Results from the Brazilian Metabolic Syndrome Study. Clin. Endocrinol. 78(6), 874881 (2013).

Article CAS Google Scholar

Subramanian, V., Johnston, R., Kaye, P. & Aithal, G. Regional anthropometric measures associated with the severity of liver injury in patients with non-alcoholic fatty liver disease. Aliment. Pharmacol. Ther. 37(4), 455463 (2013).

Article CAS PubMed Google Scholar

Borruel, S. et al. Surrogate markers of visceral adiposity in young adults: Waist circumference and body mass index are more accurate than waist hip ratio, model of adipose distribution and visceral adiposity index. PLoSOne 9(12), e114112 (2014).

Article ADS PubMed PubMed Central Google Scholar

Rankinen, T., Kim, S., Perusse, L., Despres, J. & Bouchard, C. The prediction of abdominal visceral fat level from body composition and anthropometry: ROC analysis. Int. J. Obes. 23(8), 801 (1999).

Article CAS Google Scholar

Lee, S. S. & Park, S. H. Radiologic evaluation of nonalcoholic fatty liver disease. World J. Gastroenterol. WJG 20(23), 7392 (2014).

Article PubMed Google Scholar

EskandarNejad, M. Correlation of perceived body image and physical activity in women and men according to the different levels of Body Mass Index (BMI). J. Health Promot. Manag. 2, 5940 (2013).

Google Scholar

Belghaisi-Naseri, M. et al. Plasma levels of vascular endothelial growth factor and its soluble receptor in non-alcoholic fatty liver. J. Fast. Health (2018).

Dehnavi, Z. et al. Fatty Liver Index (FLI) in predicting non-alcoholic fatty liver disease (NAFLD). Hepat. Mon. 18(2) (2018).

Birjandi, M., Ayatollahi, S. M. T., Pourahmad, S. & Safarpour, A. R. Prediction and diagnosis of non-alcoholic fatty liver disease (NAFLD) and identification of its associated factors using the classification tree method. Iran. Red Crescent Med. J. 18(11) (2016).

Islam, M., Wu, C.-C., Poly, T. N., Yang, H.-C. & Li, Y.-C.J. Applications of machine learning in fatty live disease prediction. Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth 166170 (IOS Press, 2018).

Google Scholar

Ma, H., Xu, C.-F., Shen, Z., Yu, C.-H. & Li, Y.-M. Application of machine learning techniques for clinical predictive modeling: A cross-sectional study on nonalcoholic fatty liver disease in China. BioMed Res. Int. 2018 (2018).

Wu, C.-C. et al. Prediction of fatty liver disease using machine learning algorithms. Comput. Methods Programs Biomed. 170, 2329 (2019).

Article PubMed Google Scholar

Gaia, S. et al. Reliability of transient elastography for the detection of fibrosis in non-alcoholic fatty liver disease and chronic viral hepatitis. J. Hepatol. 54(1), 6471 (2011).

Article PubMed Google Scholar

Sasso, M. et al. Controlled attenuation parameter (CAP): A novel VCTE guided ultrasonic attenuation measurement for the evaluation of hepatic steatosis: Preliminary study and validation in a cohort of patients with chronic liver disease from various causes. Ultrasound Med. Biol. 36(11), 18251835 (2010).

Article PubMed Google Scholar

Hsu, C. et al. Magnetic resonance vs transient elastography analysis of patients with nonalcoholic fatty liver disease: A systematic review and pooled analysis of individual participants. Clin. Gastroenterol. Hepatol. 17(4), 630637 (2019).

Article PubMed Google Scholar

Shamsi, A. et al. An uncertainty-aware transfer learning-based framework for COVID-19 diagnosis. IEEE Trans. Neural Netw. Learn. Syst. 32(4), 14081417 (2021).

Article PubMed Google Scholar

Pedregosa, F. et al. Scikit-learn: Machine learning in Python. J. Mach. Learn. Res. 12, 28252830 (2011).

MathSciNet MATH Google Scholar

Noor, N. M. et al. (eds) (Trans Tech Publ, 2015).

Google Scholar

Norazian, M. N. Comparison of linear interpolation method and mean method to replace the missing values in environmental data set (2007).

Cunningham, J. P. & Ghahramani, Z. Linear dimensionality reduction: Survey, insights, and generalizations. J. Mach. Learn. Res. 16(1), 28592900 (2015).

MathSciNet MATH Google Scholar

Onat, A. et al. Neck circumference as a measure of central obesity: Associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clin. Nutr. 28(1), 4651 (2009).

Article PubMed Google Scholar

Rafiei, R., Fouladi, L. & Torabi, Z. Which component of metabolic syndrome is the most important one in development of colorectal adenoma?

Albhaisi, S. Noninvasive imaging modalities in nonalcoholic fatty liver disease: Where do we stand?. EMJ 4(3), 5762 (2019).

Article Google Scholar

Ferraioli, G. & Monteiro, L. B. S. Ultrasound-based techniques for the diagnosis of liver steatosis. World J. Gastroenterol. 25(40), 6053 (2019).

Article PubMed PubMed Central Google Scholar

Khov, N., Sharma, A. & Riley, T. R. Bedside ultrasound in the diagnosis of nonalcoholic fatty liver disease. World J. Gastroenterol. WJG 20(22), 6821 (2014).

Article PubMed Google Scholar

Angulo, P. et al. Liver fibrosis, but no other histologic features, is associated with long-term outcomes of patients with nonalcoholic fatty liver disease. Gastroenterology 149(2), 389-397.e10 (2015).

Article PubMed Google Scholar

Originally posted here:
Application of machine learning in predicting non-alcoholic fatty liver ... - Nature.com

Related Posts

Comments are closed.