AIMC Topic: Forecasting

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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study.

Journal of medical Internet research
BACKGROUND: Accurate prediction of population-wide depression incidence is vital for effective public mental health management. However, this incidence is often influenced by socioeconomic factors, such as abrupt events or changes, including pandemic...

Accurate multi-category student performance forecasting at early stages of online education using neural networks.

Scientific reports
The ability to accurately predict and analyze student performance in online education, both at the outset and throughout the semester, is vital. Most of the published studies focus on binary classification (Fail or Pass) but there is still a signific...

Artificial Intelligence in Glaucoma: Advances in Diagnosis, Progression Forecasting, and Surgical Outcome Prediction.

International journal of molecular sciences
Glaucoma is a leading cause of irreversible blindness, with challenges persisting in early diagnosis, disease progression, and surgical outcome prediction. Recent advances in artificial intelligence have enabled significant progress by extracting cli...

Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach.

Neural computation
Forecasting electroencephalography (EEG) signals, that is, estimating future values of the time series based on the past ones, is essential in many real-time EEG-based applications, such as brain-computer interfaces and closed-loop brain stimulation....

Navigating the Artificial Intelligence Revolution: The Future of General Practice in India.

The Journal of the Association of Physicians of India
This article explores the integration of artificial intelligence (AI) into general medical practice in India. It discusses global AI healthcare trends and India's strategic approach of leveraging AI for societal benefit through public service applica...

AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data.

Mathematical biosciences and engineering : MBE
In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory diseases is challenging due to similar symptoms and the prevalence of comorbidities. In Yemen, acute comorbidities further complicate the differentiation bet...

Current applications and future perspectives of artificial intelligence in functional urology and neurourology: how far can we get?

Minerva urology and nephrology
In the last few years, the scientific community has seen an increasing interest towards the potential applications of artificial intelligence in medicine and healthcare. In this context, urology represents an area of rapid development, particularly i...

Network Delay Forecast and Master-Slave Consistency Enhancement for Remote Surgical Robots.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The inevitable network delay can directly impact the process of remote surgeries and affect the master-slave motion consistency, and sudden changes in delay can compromise surgical safety.

The Future of Artificial Intelligence in Hand and Upper Extremity Surgery.

Journal of surgical orthopaedic advances
The increasing role of artificial intelligence (AI) in healthcare is largely attributed to the fact that, with continual medical advances and digitization, clinical decision-making has become more and more reliant on data. As the volume and complexit...

Training forecast to football athletes using Hopfield neural networks based on Markov matrix.

PloS one
This paper proposes a neural network based on the Markov probability transition matrix to predict the training performance of football athletes. Firstly, seven training indicators affecting the training performance are designed by the Event-group tra...