AIMC Topic: China

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The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning.

Scientific data
Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and ...

Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.

Scientific reports
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r...

Government digital governance and urban green economic efficiency in China.

Journal of environmental management
Nowadays, widespread application and continuous advancement of digital technologies have made the digital governance become one of the dominant themes in the transformation of worldwide governments. This paper explores the impact of government digita...

Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.

Annals of medicine
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insufficient data and lack interpretability. Additionally, there is a notable absence of reports from China in this field. This study is also the first to i...

The Predictive Value of Serum Total IgE for Antihistamine Treatment Outcomes in Chinese Patients with Chronic Spontaneous Urticaria.

Acta dermato-venereologica
Chronic spontaneous urticaria is a common skin disorder with variable treatment responses. Second-generation H1-antihistamines are the first-line treatment for chronic spontaneous urticaria, yet many patients fail to respond to licensed doses. Predic...

Finance fuels carbon cut? The carbon reduction effect of sci-tech financial policies: Evidence from a quasi-natural experiment.

Journal of environmental management
Based on panel data from 270 prefecture-level cities in China from 2006 to 2021, this paper employs the Pilot Programme to Promote the Integration of Science and Technology (S&T) Finance as a quasi-natural experiment. A difference-in-differences (DID...

Exploring the carbon rebound effect of agriculture and policy response: Lessons from zero growth of fertiliser action.

Environmental research
Agricultural technological progress is theoretically regarded as the core driving force to curb carbon emissions, but its possible rebound effect often leads to systematic offsetting of emission reduction. Based on the panel data of 267 cities in Chi...

Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.

BMC medicine
BACKGROUND: Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practic...

Risk assessment of corn borer based on feature optimization and weighted spatial clustering: a case study in Shandong Province, China.

Scientific reports
As a typical pest affecting corn yield and safety, corn borer causes serious economic losses worldwide. Climate warming has intensified the occurrence of pest outbreaks in recent years, but the associated risk has not been precisely assessed or under...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Human vaccines & immunotherapeutics
Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is of great significance for effectively addressing potential public health crises. Based on survey data from China, we employed a Gradient Boosting Decis...