Kejia Liu

Beijing, China

Last Updated: 09/26/2026

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Found 15 publications

Predicting one-year overall survival in patients with AITL using machine learning algorithms: a multicenter study.

Predicting one-year overall survival in patients with AITL using machine learning algorithms: a multicenter study.

Journal: Scientific reports

Published: July 02, 2025

Prediction of venous thromboembolism after spontaneous intracerebral hemorrhage based on machine learning.

Prediction of venous thromboembolism after spontaneous intracerebral hemorrhage based on machine learning.

Journal: Clinical neurology and neurosurgery

Published: June 03, 2025

Correction: Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study.

Correction: Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study.

Journal: British journal of cancer

Published: February 03, 2025

Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.

Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.

Journal: Chinese medical journal

Published: June 03, 2024

A Novel Machine Learning Model for Predicting Stroke-Associated Pneumonia After Spontaneous Intracerebral Hemorrhage.

A Novel Machine Learning Model for Predicting Stroke-Associated Pneumonia After Spontaneous Intracerebral Hemorrhage.

Journal: World neurosurgery

Published: April 24, 2024

Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.

Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.

Journal: BMC medical informatics and decision making

Published: October 17, 2023

Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study.

Machine learning-based decision support model for selecting intra-arterial therapies for unresectable hepatocellular carcinoma: A national real-world evidence-based study.

Journal: British journal of cancer

Published: September 15, 2023

Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey.

Prediction of hyperuricemia in people taking low-dose aspirin using a machine learning algorithm: a cross-sectional study of the National Health and Nutrition Examination Survey.

Journal: Frontiers in pharmacology

Published: September 08, 2023

Exploring the Association between Low-dose Aspirin Intake and Hyperuricemia in Individuals over 40: A Cross-Sectional Study using NHANES Data (2011-2018).

Exploring the Association between Low-dose Aspirin Intake and Hyperuricemia in Individuals over 40: A Cross-Sectional Study using NHANES Data (2011-2018).

Journal: Medical science monitor : international medical journal of experimental and clinical research

Published: June 07, 2023

Optimizing bowel preparation for colonoscopy: A cross-sectional study of the Chinese population.

Optimizing bowel preparation for colonoscopy: A cross-sectional study of the Chinese population.

Journal: Frontiers in public health

Published: May 26, 2022

Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms.

Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms.

Journal: Frontiers in public health

Published: May 10, 2022

Serum metabolite signatures in normal individuals and patients with colorectal adenoma or colorectal cancer using UPLC-MS/MS method.

Serum metabolite signatures in normal individuals and patients with colorectal adenoma or colorectal cancer using UPLC-MS/MS method.

Journal: Journal of proteomics

Published: August 10, 2021

Showing 1-12 of 15

Last Updated: 09/26/2026