AIMC Topic: China

Clear Filters Showing 1861 to 1870 of 2176 articles

[Problems and countermeasures in eye care and vision screening services for children aged 0 to 6 years].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
The critical period for visual function and ocular structure development occurs from 0 to 6 years of age, making standardized eye care and vision screening services during this stage vital for improving lifelong visual outcomes and quality of life. I...

Probing Social Support and Self-Disclosure Within Chinese Online Domestic Violence Support Groups: Leveraging Multiple Machine Learning Approaches.

Journal of community psychology
This study examines how domestic violence victims can effectively disclose their experiences in online support groups to receive meaningful support, and how community members can provide that support. Analyzing 3455 posts and 55,787 replies from Chin...

Short-term spatial prediction of algal blooms in Lake Taihu via machine learning and GOCI observations.

Journal of environmental management
Harmful algal blooms are critical issues in eutrophic lakes worldwide. However, predicting the spatial distribution of algal blooms at the pixel level is still a challenge. In this study, floating algae cover (FAC) was used to extract algal coverage ...

Building efficiency: How the national AI innovation pilot zones enhance green energy utilization? Evidence from China.

Journal of environmental management
Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduction, and green development goals, while also serving as a critical indicator for evaluating high-quality economic growth and sustainable development. ...

Temporal insights into ecological community: Advancing waterbird monitoring with dome camera and deep learning.

Journal of environmental management
Biodiversity monitoring is critical for conservation and management. However, efficient species monitoring is often hindered by the complexities of ecological dynamics and the constraints of conventional techniques. This study presents an automated o...

Long-term water quality simulation and driving factors identification within the watershed scale using machine learning.

Journal of contaminant hydrology
Understanding long-term trends and analyzing their driving factors are essential to effectively enhance water quality in watersheds. In China, although the overall quality of surface water continues to improve, significant issues remain in certain re...

Prediction of post stroke depression with machine learning: A national multicenter cohort study.

Journal of psychiatric research
OBJECTIVE: Post-stroke depression (PSD) is a common psychiatric complication following stroke, with low clinical detection rates and delayed diagnosis. Most existing PSD prediction models suffer from incomplete data inclusion, which limits their clin...

Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.

Preventive medicine
OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognitive impairment and facilitate successful cognitive aging. We aimed to build more precise prediction models for cognitive function using less variable ...

Risk prediction models for patients with recurrent diabetic foot ulcers: A systematic review.

Public health
OBJECTIVES: To systematically review published studies on risk prediction models for patients with recurrent diabetic foot ulcers.

Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study.

Maturitas
BACKGROUND: Monitoring intrinsic capacity and implementing appropriate interventions can support healthy aging. There are, though, few tools available for predicting decline in intrinsic capacity among older adults. This study aimed to develop and va...