AIMC Topic: Forecasting
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The Future of Sustainable Neurosurgery: Is a Moonshot Plan for Artificial Intelligence and Robot-Assisted Surgery Possible in Japan?
World neurosurgery
Aug 30, 2024
Japanese neurosurgery faces challenges such as a declining number of neurosurgeons and their concentration in urban areas. Particularly in rural areas, access to neurosurgical care for patients with conditions, such as stroke, is limited, raising con...
Forecasting the incidence frequencies of schizophrenia using deep learning.
Asian journal of psychiatry
Aug 30, 2024
Mental disorders are becoming increasingly prevalent worldwide, and accurate incidence forecasting is crucial for effective mental health strategies. This study developed a long short-term memory (LSTM)-based recurrent neural network model to predict...
Artificial intelligence and the future of scientific publication.
European journal of emergency medicine : official journal of the European Society for Emergency Medicine
Aug 27, 2024
Real-time chlorophyll-a forecasting using machine learning framework with dimension reduction and hyperspectral data.
Environmental research
Aug 22, 2024
Since water is an essential resource in various fields, it requires constant monitoring. Chlorophyll-a concentration is a crucial indicator of water quality and can be used to monitor water quality. In this study, we developed methods to forecast chl...
Artificial Intelligence in Chronic Obstructive Pulmonary Disease: Research Status, Trends, and Future Directions --A Bibliometric Analysis from 2009 to 2023.
International journal of chronic obstructive pulmonary disease
Aug 21, 2024
OBJECTIVE: A bibliometric analysis was conducted using VOSviewer and CiteSpace to examine studies published between 2009 and 2023 on the utilization of artificial intelligence (AI) in chronic obstructive pulmonary disease (COPD).
From expansion to efficiency: Machine learning-based forecasting of Japan's building material stocks under demographic declines.
The Science of the total environment
Aug 19, 2024
Japan's unique demographic trajectory, marked by population decline and aging, coupled with continued urbanization, presents distinct challenges for aligning built environment capacity with resource efficiency. This study aims to investigate the hist...
Enhancing COVID-19 forecasting precision through the integration of compartmental models, machine learning and variants.
Scientific reports
Aug 19, 2024
Predicting epidemic evolution is essential for making informed decisions and guiding the implementation of necessary countermeasures. Computational models are vital tools that provide insights into illness progression and enable early detection, proa...
Accurate PM urban air pollution forecasting using multivariate ensemble learning Accounting for evolving target distributions.
Chemosphere
Aug 16, 2024
Over the past decades, air pollution has caused severe environmental and public health problems. According to the World Health Organization (WHO), fine particulate matter (PM), a key component reflecting air quality, is the fourth leading cause of de...
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection.
Scientific reports
Aug 16, 2024
TB/HIV coinfection poses a complex public health challenge. Accurate forecasting of future trends is essential for efficient resource allocation and intervention strategy development. This study compares classical statistical and machine learning mod...
[Not Available].
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Aug 15, 2024
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