Clustering using unsupervised machine learning to stratify the risk of immune‐related liver injury-Reference-Cited by-同舟云学术

Clustering using unsupervised machine learning to stratify the risk of immune‐related liver injury

Published:2022-11-08 Issue:2 Volume:38 Page:251-258
ISSN:0815-9319
Container-title:Journal of Gastroenterology and Hepatology
language:en
Short-container-title:J of Gastro and Hepatol

Author:

Yamamoto Takafumi¹^ORCID,Morooka Hikaru²,Ito Takanori¹,Ishigami Masatoshi¹^ORCID,Mizuno Kazuyuki¹,Yokoyama Shinya¹^ORCID,Yamamoto Kenta¹,Imai Norihiro¹,Ishizu Yoji¹^ORCID,Honda Takashi¹^ORCID,Yokota Kenji³,Hase Tetsunari⁴,Maeda Osamu⁵,Hashimoto Naozumi⁴,Ando Yuichi⁵,Akiyama Masashi³,Kawashima Hiroki¹^ORCID

Affiliation:

1. Department of Gastroenterology and Hepatology Nagoya University Graduate School of Medicine Nagoya Japan

2. Department of Emergency and Critical Care Medicine Nagoya University Graduate School of Medicine Nagoya Japan

3. Department of Dermatology Nagoya University Graduate School of Medicine Nagoya Japan

4. Department of Respiratory Medicine Nagoya University Graduate School of Medicine Nagoya Japan

5. Department of Clinical Oncology and Chemotherapy Nagoya University Hospital Nagoya Japan

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgh.16038

Reference37 articles.

1. Development of immune checkpoint therapy for cancer

3. Characterization of liver injury induced by cancer immunotherapy using immune checkpoint inhibitors

4. Management of Immune-Related Adverse Events in Patients Treated With Immune Checkpoint Inhibitor Therapy: American Society of Clinical Oncology Clinical Practice Guideline

5. Fatal Toxic Effects Associated With Immune Checkpoint Inhibitors

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