|
|
|
|
|
Paraskevi Detopoulou, Panos Papandreou, Lida Papadopoulou and Maria Skouroliakou
Clinical Decision Support Systems (CDSSs) facilitate evidence-based clinical decision making for health professionals. Few studies have applied such systems enabling distance monitoring in the COVID-19 epidemic, especially in a hospital setting. The purp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Thomas T. H. Wan and Hunter S. Wan
Context. This commentary is based on an innovative approach to the development of predictive analytics. It is centered on the development of predictive models for varying stages of chronic disease through integrating all types of datasets, adds various n...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gerardo Cazzato, Marialessandra Capuzzolo, Paola Parente, Francesca Arezzo, Vera Loizzi, Enrica Macorano, Andrea Marzullo, Gennaro Cormio and Giuseppe Ingravallo
The advent of Artificial Intelligence (AI) has in just a few years supplied multiple areas of knowledge, including in the medical and scientific fields. An increasing number of AI-based applications have been developed, among which conversational AI has ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ashir Javeed, Muhammad Asim Saleem, Ana Luiza Dallora, Liaqat Ali, Johan Sanmartin Berglund and Peter Anderberg
Researchers have proposed several automated diagnostic systems based on machine learning and data mining techniques to predict heart failure. However, researchers have not paid close attention to predicting cardiac patient mortality. We developed a clini...
ver más
|
|
|
|
|
|
|
|
|
|
|
Elena Lazarova, Sara Mora, Norbert Maggi, Carmelina Ruggiero, Alessandro Cosolito Vitale, Paolo Rubartelli and Mauro Giacomini
Currently in hospitals, there are several separate information systems that manage, very often autonomously, the patient?s personal, clinical and diagnostic data. An electronic health record system has been specifically developed for a cardiology ward an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adele H. Marshall and Aleksandar Novakovic
As the world moves into the exciting age of Healthcare 4.0, it is essential that patients and clinicians have confidence and reassurance that the real-time clinical decision support systems being used throughout their care guarantee robustness and optima...
ver más
|
|
|
|
|
|
|
|
|
|
|
Joël Colloc, Relwendé Aristide Yameogo, Peter Summons, Lilian Loubet, Jean-Bernard Cavelier and Paul Bridier
Knowledge bases in complex domains must take into account many attributes describing numerous objects that are themselves components of complex objects. Temporal case-based reasoning (TCBR) requires comparing the structural evolution of component objects...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kwang Hyeon Kim, Woo-Jin Choi and Moon-Jun Sohn
This study aimed to analyze feature importance by applying explainable artificial intelligence (XAI) to postural deformity parameters extracted from a computer vision-based posture analysis system (CVPAS). Overall, 140 participants were screened for CVPA...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luca Giordano, Andrea Francavilla, Corrado Lanera, Sara Urru, Paola Berchialla and Ileana Baldi
Patients are the most important actors in clinical research. Therefore, patient preference information (PPI) could support the decision-making process, being indisputable for research value, quality, and integrity. However, there is a lack of clear guida...
ver más
|
|
|
|
|
|