Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Jiaxi Lin

2PUBLICATIONS

3CO-AUTHORS

Respiratory diseasesPredictive and prognostic markers

Featured researcher

Get your video featured.

Publish with JoVE

Featured researcher

Get your video featured.

Publish with JoVE

Publications (2)

Sort by Publication Date:

|Nov 24, 2022

Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis.

Chenyan Yu, Yao Li, Minyue Yin

|Oct 14, 2022

The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Cancer: A SEER-Based Study.

Jiaxi Lin, Minyue Yin, Lu Liu

Pageof 1

Frequent Collaborators

2 joint publications

Minyue Yin

2 joint publications

Jinzhou Zhu

1 joint publications

Jingwen Gao

Frequent Collaborators

2 joint publications

Minyue Yin

2 joint publications

Jinzhou Zhu

1 joint publications

Jingwen Gao

Top Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on : Sep 27, 2024

See more related videos

Top Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on : Sep 27, 2024

See more related videos