AIMC Topic: Forecasting

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Finding the Future of Surgical Robotics.

Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses

Multi-model fusion short-term power load forecasting based on improved WOA optimization.

Mathematical biosciences and engineering : MBE
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies to construct reasonable production scheduling plans and avoid resource waste. In this paper, a multi-model short-term power load prediction method ba...

[Artificial intelligence in medical application: problems and legal countermeasures].

Zhonghua yi xue za zhi
Artificial intelligence (AI) is widely used in the current medical field at home and abroad, including medical imaging, auxiliary diagnosis, drug research and development, health management, disease prediction and other fields, but its "autonomy" and...

Landscape of Artificial Intelligence in Breast Cancer (2000-2021): A Bibliometric Analysis.

Frontiers in bioscience (Landmark edition)
BACKGROUND: Breast cancer remains one of the leading malignancies in women with distinct clinical heterogeneity and intense multidisciplinary cooperation. Remarkable progresses have been made in artificial intelligence (AI). A bibliometric analysis w...

PC-LSTM: Ontology-based Long Short-Term Memory State Model for Data Incompleteness Prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Medical practices are engaged and motivated by new technologies and methods to enhance patient care as efficiently as possible. These new methods and technologies give way for medical practices and clinicians to have the insight, comprehension, and p...

A graph neural network approach for molecule carcinogenicity prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Molecular carcinogenicity is a preventable cause of cancer, but systematically identifying carcinogenic compounds, which involves performing experiments on animal models, is expensive, time consuming and low throughput. As a result, carci...

A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network.

Biomedical and environmental sciences : BES
OBJECTIVES: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accur...