This article discusses the development of a GRA-CEEMDAN-CN1DLSTM-DBO coupled model for predicting water quality in the middle reaches of the Yangtze River during the…
Browsing: Prediction Model
This article discusses the development of a model using a stacking strategy and the CBRF prediction model to describe the match process and capture…
Researchers have developed a machine learning-based heart disease prediction model that uses various combinations of information and recognized categorization methods. The model shows promising…
This study aimed to construct an early prediction model for postoperative pulmonary complications (PPCs) after thoracoscopic surgery using machine learning and deep learning algorithms.…
This study aimed to develop and validate a machine learning (ML) prediction model of acute kidney injury (AKI) for use in AKI surveillance and…
Predictive modelling in medicine involves the development of models that use artificial intelligence approaches such as machine learning to analyse data and predict outcomes…
This article discusses a machine learning-based model that was developed to more accurately predict mortality after cardiac surgery than population-based models. The model was…
This study aimed to develop a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery. A…