Related Experiment Video

Updated: Jan 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K

Correction: Application of machine learning in predicting perioperative neurocognitive disorders in elderly patients:

Zhengyu Qian1,2, Xiaochu Wu1,2,3, Kunyang He1

  • 1School of Clinical Medicine, Chengdu Medical College, Chengdu, China.

Frontiers in Medicine
|September 19, 2025
PubMed

Keywords:
SHapley Additive exPlanationsmachine learningperioperative neurocognitive disorderspostoperative cognitive dysfunctionsarcopenia

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K

Related Concept Videos