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
- How researchers use machine learning to re-create chirps and trills produced by forest insects when Dinos - The Times of India - September 15th, 2026 [September 15th, 2026]
- Machine Learning Reshapes Credit Scoring - Communications of the ACM - September 13th, 2026 [September 13th, 2026]
- Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Information Theory Meets Machine Learning to Catch Industrial Cyberattacks - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Gets a Robustness Boost by Turning Labels into Preferences - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Meets X-Rays to Reveal the Hidden Architecture of Pea Seeds - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Predicts Which Women Will Face Early Ovarian Failure Within Three Years - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Cracks the Code of Nitinol Wear, a Metal That Remembers Its Shape - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Using machine learning to see how living brains learn - The University of Utah - September 8th, 2026 [September 8th, 2026]
- Applying causal machine learning to assess and improve cleantech policy design - Nature - September 8th, 2026 [September 8th, 2026]
- Frontier Tech Leaders Programme Celebrates First Machine Learning Bootcamp Graduation and AI for Sustainable Tourism Hackathon in Angola - United... - September 8th, 2026 [September 8th, 2026]
- From the Knowledge to machine learning: Wayve takes AI driving to London - IOT Insider - September 8th, 2026 [September 8th, 2026]
- Algorithm optimizes machine learning techniques that use linear, tunable resistor networks - AIP.ORG - September 2nd, 2026 [September 2nd, 2026]
- Math Modeling Seminar: Applications of Topological Data Analysis and Machine Learning Models in Predictive Biology and Drug Discovery | Events | RIT -... - September 2nd, 2026 [September 2nd, 2026]
- UC Berkeley Announces New Professional Graduate Degree in AI and Machine Learning - University of California, Berkeley - August 25th, 2026 [August 25th, 2026]
- DedeepyaYarraand the rise of Trustworthy AI: Where Machine Learning meets cybersecurity - India.com - August 25th, 2026 [August 25th, 2026]
- Machine learning smooths the road from idea to real-world climate impact - EurekAlert! - August 18th, 2026 [August 18th, 2026]
- Chris Latham Interviews Henry Zelikovsky, Founder & CEO of Softlab360: Successful Applications of AI/Machine Learning in Wealth Management -... - August 18th, 2026 [August 18th, 2026]
- Integrated data and machine learning transform lung cancer diagnosis and treatment - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Machine learning accelerates climate solutions from ideas to real-world impact - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity - Nature - August 16th, 2026 [August 16th, 2026]
- Quantitative Hedge Fund Strategies: The Machine Learning Revolution of 2026 - rebellionresearch.com - August 16th, 2026 [August 16th, 2026]
- Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds - bhpioneer.com - August 16th, 2026 [August 16th, 2026]
- Machine Learning Identifies Predictors of Weight Loss in Adolescents With Obesity - Bioengineer.org - August 16th, 2026 [August 16th, 2026]
- How AI is changing hurricane forecasting as scientists track storms with machine learning - Gulf Coast News and Weather - August 12th, 2026 [August 12th, 2026]
- Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings - Nature - August 12th, 2026 [August 12th, 2026]
- Identification of critical brain regions for young adults with obesity and their relationships with impulsivity using machine learning based on... - August 12th, 2026 [August 12th, 2026]
- UNIVERSITY OF ALBERTA Drones and machine learning team up to map forest soil health - Education News Canada - August 12th, 2026 [August 12th, 2026]
- Meet Millie Pradawong, the 14-year-old Virginia student using machine learning and CRISPR to make microal - The Times of India - August 7th, 2026 [August 7th, 2026]
- UWs Machine Learning for High School Teachers Workshop Enriches Classrooms - University of Wyoming - August 7th, 2026 [August 7th, 2026]
- Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach -... - August 7th, 2026 [August 7th, 2026]
- TN Agri Budget: Govt bets on AI, Machine Learning to deliver real-time assistance to farmers - ThePrint - August 7th, 2026 [August 7th, 2026]
- Machine Learning Identifies Cognitive Impairment From Patient Speech - Psychiatry Advisor - August 5th, 2026 [August 5th, 2026]
- The Evolution of AI and Machine Learning: Powering the Future of Energy - JPT Homepage - August 5th, 2026 [August 5th, 2026]
- How Machine Learning Is Reshaping Extended Detection and Response - Technology Org - August 5th, 2026 [August 5th, 2026]
- AI and machine learning roles boost Indias white-collar recruitment - Staffing Industry Analysts - August 5th, 2026 [August 5th, 2026]
- Machine learning narrows search for additional particles in the Higgs boson family - Phys.org - July 24th, 2026 [July 24th, 2026]
- F1 in Belgium: Machine learning algorithms are ruining the sport - Ars Technica - July 24th, 2026 [July 24th, 2026]
- Researchers use AI and machine learning to design two new promising blue TADF OLED emitters - OLED-Info - July 24th, 2026 [July 24th, 2026]
- Machine learning professor breaks down OpenAI model's hack of another AI company - CBS News - July 24th, 2026 [July 24th, 2026]
- Barlast Tests Folk Tradition and Machine Learning On Imitation Game - World Music Central - July 24th, 2026 [July 24th, 2026]
- Predicting Outcomes with Machine Learning | Mathematical Sciences | College of Arts & Sciences - University of Delaware - July 6th, 2026 [July 6th, 2026]
- Machine Learning in Public Health: A 3-day Intensive Workshop - American Public Health Association - July 6th, 2026 [July 6th, 2026]
- Tunable band-stop photodetection with machine learning-enabled broadband spectral adaptation - Nature - July 3rd, 2026 [July 3rd, 2026]
- Basic machine learning with lessR : Easy, simple, and free - Open Access Government - July 3rd, 2026 [July 3rd, 2026]
- QuadSci Named Machine Learning Company of the Year - MarTech Cube - July 3rd, 2026 [July 3rd, 2026]
- From Conventional to Intelligent Triage: A Systematic Review of Artificial Intelligence and Machine Learning Applications in Emergency Departments -... - July 3rd, 2026 [July 3rd, 2026]
- On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs - Apple Machine Learning Research - July 3rd, 2026 [July 3rd, 2026]
- Improving Wildfire Prediction with Machine Learning and Firebreaks - University of Reading - July 3rd, 2026 [July 3rd, 2026]
- A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms -... - June 24th, 2026 [June 24th, 2026]
- A 3X Leader for the Agentic Era: DataRobot Named a Leader Again in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms - Yahoo... - June 24th, 2026 [June 24th, 2026]
- Undergrads gain hands-on machine learning experience in summer program - The Pennsylvania State University - June 24th, 2026 [June 24th, 2026]
- Python and Machine Learning: Why the Two Skills Are Increasingly Inseparable - BNO News - June 24th, 2026 [June 24th, 2026]
- Domino Data Lab Named a Visionary for the Third Consecutive Year in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine... - June 24th, 2026 [June 24th, 2026]
- Machine Learning Boosts Smart Thermochromic Window Efficiency - Bioengineer.org - June 24th, 2026 [June 24th, 2026]
- A.I. VS HUMAN ROAST BATTLE to Pit Machine Learning Against Live Rapper in SF - BroadwayWorld - June 16th, 2026 [June 16th, 2026]
- Machine learning gives the U.S. a 1% chance of winning the World Cup final in its own backyard - Fortune - June 16th, 2026 [June 16th, 2026]
- Machine Learning Reveals Genes That Help Yeasts Resist Stress - Department of Energy (.gov) - June 16th, 2026 [June 16th, 2026]
- Machine Learning Reveals AED Impact on LGG Prognosis - Bioengineer.org - June 16th, 2026 [June 16th, 2026]
- Introducing the Third Generation of Apples Foundation Models - Apple Machine Learning Research - June 12th, 2026 [June 12th, 2026]
- Machine learning model predicts T2D risk up to 10 years before onset - Managed Healthcare Executive - June 12th, 2026 [June 12th, 2026]
- GPU as a Service Market to Reach USD 14.4 Billion by 2033 at 16.0% CAGR, Fueled by Generative AI, Machine Learning, and Cloud Infrastructure Expansion... - June 12th, 2026 [June 12th, 2026]
- Machine learning-guided design of mechanoadaptive bioglues for multitissue trauma and first-aid applications - Nature - June 12th, 2026 [June 12th, 2026]
- OUCRU scientists are using machine learning to forecast the next dengue outbreak - tropicalmedicine.ox.ac.uk - June 12th, 2026 [June 12th, 2026]
- IIT Roorkee invites applications for 11th Batch of Data Science, Machine Learning & Generative AI Programme - Elets Technomedia - June 12th, 2026 [June 12th, 2026]
- RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem - Towards Data Science - June 3rd, 2026 [June 3rd, 2026]
- A reality check on the AI jobs hysteria - Machine Learning Week US - June 3rd, 2026 [June 3rd, 2026]
- STMicroelectronics Releases Vibration Sensor With Integrated Machine Learning for Industrial Monitoring - geneonline.com - June 3rd, 2026 [June 3rd, 2026]
- NAVER LABS Europe is offering a 2026 Research Internship in Large Language Models, focusing on AI Alignment, Controlled Generation, and Machine... - May 29th, 2026 [May 29th, 2026]
- Q&A: A Machine-Learning-Based Tool to Enhance Clinical Care of Patients With Multiple Sclerosis - Physician's Weekly - May 29th, 2026 [May 29th, 2026]
- Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review - Cureus - May 29th, 2026 [May 29th, 2026]
- HTC-19 Update: Artificial Intelligence and Machine Learning - Chromatography Online - May 29th, 2026 [May 29th, 2026]
- Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results... - May 29th, 2026 [May 29th, 2026]
- Machine Learning Personalizes Depression Treatment with the Help of Wearable Technology - UC San Diego Today - May 27th, 2026 [May 27th, 2026]
- How Machine Learning Makes Complex Knowledge Useable in Real-World Conditions - Supply & Demand Chain Executive - May 25th, 2026 [May 25th, 2026]
- How Airbnbs machine-learning tools aim to prevent Memorial Day weekend parties in Las Vegas - FOX5 Vegas - May 25th, 2026 [May 25th, 2026]
- Artificial Intelligence and Machine Learning in Hospital Quality Management, Patient Safety, and Accreditation Readiness: A Systematic Review and... - May 25th, 2026 [May 25th, 2026]
- Machine learning accelerates analysis of fusion materials - Technology Org - May 25th, 2026 [May 25th, 2026]
- Dr. Kaveh Heidary Presents Innovations in AI, Machine Learning and Multispectral Imaging - aamu.edu - May 25th, 2026 [May 25th, 2026]
- Comparison of Prognostic Performance Between a Machine Learning Model and Manually Measured Grey-White-Matter Ratio on Early Brain Computed Tomography... - May 25th, 2026 [May 25th, 2026]