AIMC Topic: Forecasting
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The rise of artificial intelligence and the future of scientific publication.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Dec 18, 2023
BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients.
Scientific reports
Dec 18, 2023
Heart failure (HF) is a leading cause of mortality worldwide. Machine learning (ML) approaches have shown potential as an early detection tool for improving patient outcomes. Enhancing the effectiveness and clinical applicability of the ML model nece...
Explainable hierarchical clustering for patient subtyping and risk prediction.
Experimental biology and medicine (Maywood, N.J.)
Dec 15, 2023
We present a pipeline in which machine learning techniques are used to automatically identify and evaluate subtypes of hospital patients admitted between 2017 and 2021 in a large UK teaching hospital. Patient clusters are determined using routinely c...
Beyond multilayer perceptrons: Investigating complex topologies in neural networks.
Neural networks : the official journal of the International Neural Network Society
Dec 9, 2023
This study delves into the crucial aspect of network topology in artificial neural networks (NNs) and its impact on model performance. Addressing the need to comprehend how network structures influence learning capabilities, the research contrasts tr...
Artificial intelligence in the NICU to predict extubation success in prematurely born infants.
Journal of perinatal medicine
Dec 8, 2023
OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause long term complications including bronchopulmonary dysplasia. Timely extubation then is essential, yet predicting its success remains challenging. Ar...
Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges.
Expert review of anticancer therapy
Dec 8, 2023
INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved...
The Basics of Artificial Intelligence in Nursing: Fundamentals and Recommendations for Educators.
The Journal of nursing education
Dec 1, 2023
BACKGROUND: Artificial intelligence (AI) offers exciting possibilities; however, AI is a double-edged sword. The adoption of this technology offers many benefits but also presents risks to academic integrity and appropriately prepared graduates. Many...
A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs.
Environmental science and pollution research international
Nov 28, 2023
The accurate and efficient prediction of chlorophyll-a (Chl-a) concentration is crucial for the early detection of algal blooms in reservoirs. Nevertheless, predicting Chl-a concentration in multivariate time series poses a significant challenge due ...
Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China's leading stocks.
PloS one
Nov 27, 2023
The prediction of stock prices has long been a captivating subject in academic research. This study aims to forecast the prices of prominent stocks in five key industries of the Chinese A-share market by leveraging the synergistic power of deep learn...
Forecasting water quality variable using deep learning and weighted averaging ensemble models.
Environmental science and pollution research international
Nov 24, 2023
Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse aquatic organisms, notably algae and cyanobacteria, serves as a val...
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