Letter to the editor: diagnosing fibrosis and cirrhosis in nonalcoholic fatty liver disease using machine learning models

doi:10.1097/HEP.0000000000000209

Comment

. 2023 May 1;77(5):E103-E104.

doi: 10.1097/HEP.0000000000000209. Epub 2023 Jan 3.

Letter to the editor: diagnosing fibrosis and cirrhosis in nonalcoholic fatty liver disease using machine learning models

Yifei Feng^{1

2

3}, Boshizhang Peng⁴, Yanan Li⁴, Lejia Sun^{1

2

3}, Yueming Sun^{1

2

3}

Affiliations

¹ Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
² The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
³ Colorectal Institute of Nanjing Medical University, Nanjing, China.
⁴ Peking Union Medical College, Beijing, China.

PMID: 36645222
DOI: 10.1097/HEP.0000000000000209

Comment

Letter to the editor: diagnosing fibrosis and cirrhosis in nonalcoholic fatty liver disease using machine learning models

Yifei Feng et al. Hepatology. 2023.

. 2023 May 1;77(5):E103-E104.

doi: 10.1097/HEP.0000000000000209. Epub 2023 Jan 3.

Authors

Yifei Feng^{1

2

3}, Boshizhang Peng⁴, Yanan Li⁴, Lejia Sun^{1

2

3}, Yueming Sun^{1

2

3}

Affiliations

¹ Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
² The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
³ Colorectal Institute of Nanjing Medical University, Nanjing, China.
⁴ Peking Union Medical College, Beijing, China.

PMID: 36645222
DOI: 10.1097/HEP.0000000000000209

No abstract available

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Comment in

Reply: Machine learning models for NAFLD/NASH and cirrhosis diagnosis and staging: accuracy and routine variables are the success keys.
Chang D, Truong E, Noureddin M. Chang D, et al. Hepatology. 2023 May 1;77(5):E105-E106. doi: 10.1097/HEP.0000000000000211. Epub 2023 Jan 3. Hepatology. 2023. PMID: 37018138 No abstract available.

Comment on

Machine learning models are superior to noninvasive tests in identifying clinically significant stages of NAFLD and NAFLD-related cirrhosis.
Chang D, Truong E, Mena EA, Pacheco F, Wong M, Guindi M, Todo TT, Noureddin N, Ayoub W, Yang JD, Kim IK, Kohli A, Alkhouri N, Harrison S, Noureddin M. Chang D, et al. Hepatology. 2023 Feb 1;77(2):546-557. doi: 10.1002/hep.32655. Epub 2022 Aug 9. Hepatology. 2023. PMID: 35809234

References

1. Chang D, Truong E, Mena EA, Pacheco F, Wong M, Guindi M, et al. Machine learning models are superior to noninvasive tests in identifying clinically significant stages of NAFLD and NAFLD-related cirrhosis. Hepatology. 2022; https://doi.org/10.1002/hep.32655. [Epub ahead of print]. - DOI
1. Stefano JT, Guedes LV, de Souza AAA, Vanni DS, Alves VAF, Carrilho FJ, et al. Usefulness of collagen type IV in the detection of significant liver fibrosis in nonalcoholic fatty liver disease. Ann Hepatol. 2021;20:100253.
1. Tanwar S, Trembling PM, Guha IN, Parkes J, Kaye P, Burt AD, et al. Validation of terminal peptide of procollagen III for the detection and assessment of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease. Hepatology. 2013;57:103–11.
1. Chen T, Guestrin C. XGBoost: a scalable tree boosting system. Knowledge Discovery and Data Mining. 2016;2016:785–94.
1. Rich NE, Oji S, Mufti AR, Browning JD, Parikh ND, Odewole M, et al. Racial and ethnic disparities in nonalcoholic fatty liver disease prevalence, severity, and outcomes in the United States: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2018;16:198–210.e192.

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[1] Chang D, Truong E, Mena EA, Pacheco F, Wong M, Guindi M, et al. Machine learning models are superior to noninvasive tests in identifying clinically significant stages of NAFLD and NAFLD-related cirrhosis. Hepatology. 2022; https://doi.org/10.1002/hep.32655. [Epub ahead of print]. - DOI

[2] Chang D, Truong E, Mena EA, Pacheco F, Wong M, Guindi M, et al. Machine learning models are superior to noninvasive tests in identifying clinically significant stages of NAFLD and NAFLD-related cirrhosis. Hepatology. 2022; https://doi.org/10.1002/hep.32655. [Epub ahead of print]. - DOI

[3] Stefano JT, Guedes LV, de Souza AAA, Vanni DS, Alves VAF, Carrilho FJ, et al. Usefulness of collagen type IV in the detection of significant liver fibrosis in nonalcoholic fatty liver disease. Ann Hepatol. 2021;20:100253.

[4] Stefano JT, Guedes LV, de Souza AAA, Vanni DS, Alves VAF, Carrilho FJ, et al. Usefulness of collagen type IV in the detection of significant liver fibrosis in nonalcoholic fatty liver disease. Ann Hepatol. 2021;20:100253.

[5] Tanwar S, Trembling PM, Guha IN, Parkes J, Kaye P, Burt AD, et al. Validation of terminal peptide of procollagen III for the detection and assessment of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease. Hepatology. 2013;57:103–11.

[6] Tanwar S, Trembling PM, Guha IN, Parkes J, Kaye P, Burt AD, et al. Validation of terminal peptide of procollagen III for the detection and assessment of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease. Hepatology. 2013;57:103–11.

[7] Chen T, Guestrin C. XGBoost: a scalable tree boosting system. Knowledge Discovery and Data Mining. 2016;2016:785–94.

[8] Chen T, Guestrin C. XGBoost: a scalable tree boosting system. Knowledge Discovery and Data Mining. 2016;2016:785–94.

[9] Rich NE, Oji S, Mufti AR, Browning JD, Parikh ND, Odewole M, et al. Racial and ethnic disparities in nonalcoholic fatty liver disease prevalence, severity, and outcomes in the United States: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2018;16:198–210.e192.

[10] Rich NE, Oji S, Mufti AR, Browning JD, Parikh ND, Odewole M, et al. Racial and ethnic disparities in nonalcoholic fatty liver disease prevalence, severity, and outcomes in the United States: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2018;16:198–210.e192.

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Letter to the editor: diagnosing fibrosis and cirrhosis in nonalcoholic fatty liver disease using machine learning models

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Letter to the editor: diagnosing fibrosis and cirrhosis in nonalcoholic fatty liver disease using machine learning models

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