- Abstract
- Core Tip
- Article Highlights
- Full Article (PDF)
- Full Article with Cover (PDF)
- Full Article (XML)
- Full Article (HTML)
- Audio
- PubMed Central
- PubMed
- CrossRef
- Google Scholar
- Similar Articles (473)
- Timeline of Article Publication (0)
- Authors Evaluation (2)
- Article Quality Tracking (0)
- Reference Citation Analysis (0)
Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (3015)
All Articles published online
|
Publishing Process of This Article
|
Mar 18, 2024 (publication date) through Dec 1, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Transplantation
ISSN
2220-3230
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Chongo G, Soldera J. Use of machine learning models for the prognostication of liver transplantation: A systematic review. World J Transplant 2024; 14(1): 88891 [PMID: 38576762 DOI: 10.5500/wjt.v14.i1.88891] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5190/full/v14/i1/88891.htm |
| Number | Citing Articles |
| 1 |
Vakaola I Pulotu Mafi, Jonathan Soldera. Palliative care for end-stage liver disease and acute on chronic liver failure: A systematic review. World Journal of Methodology 2024; 14(4): 95904 doi: 10.5662/wjm.v14.i4.95904
|
| 2 |
Ahmet Ercan Topcu, Ersin Elbasi, Yehia Ibrahim Alzoubi. Machine Learning-Based Analysis and Prediction of Liver Cirrhosis. 2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024; : 191 doi: 10.1109/TSP63128.2024.10605929
|
| 3 |
Feras Al-Obeidat, Wael Hafez, Muneir Gador, Nesma Ahmed, Marwa Muhammed Abdeljawad, Antesh Yadav, Asrar Rashed. Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysis. Frontiers in Artificial Intelligence 2024; 7 doi: 10.3389/frai.2024.1398205
|
| 4 |
Jonathan Soldera, Leandro Luis Corso, Matheus Machado Rech, Vinícius Remus Ballotin, Lucas Goldmann Bigarella, Fernanda Tomé, Nathalia Moraes, Rafael Sartori Balbinot, Santiago Rodriguez, Ajacio Bandeira de Mello Brandão, Bruno Hochhegger. Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort study. World Journal of Hepatology 2024; 16(2): 193-210 doi: 10.4254/wjh.v16.i2.193
Abstract(266) |
Core Tip(279) |
Full Article(HTML)(1919)
|
Full Article with Cover (PDF)-1457K(80)
|
Full Article (Word)-494K(7)
|
Audio-135K(4)
|
Peer-Review Report-177K(35)
|
Answering Reviewers-127K(38)
|
Supplementary Material-200K(46)
|
Full Article (PDF)-948K(82)
|
Full Article (XML)-204K(35)
|
Times Cited (1)
|
Total Visits (4293)
|
Open
|
| 5 |
Intekhab Hossain, Amin Madani, Simon Laplante. Machine learning perioperative applications in visceral surgery: a narrative review. Frontiers in Surgery 2024; 11 doi: 10.3389/fsurg.2024.1493779
|
| 6 |
Giuseppe Guido Maria Scarlata, Abdulrahman Ismaiel, Maria Luisa Gambardella, Daniel Corneliu Leucuta, Francesco Luzza, Dan Lucian Dumitrascu, Ludovico Abenavoli. Use of Non-Invasive Biomarkers and Clinical Scores to Predict the Complications of Liver Cirrhosis: A Bicentric Experience. Medicina 2024; 60(11): 1854 doi: 10.3390/medicina60111854
|