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Peck Chui Betty Khong, Leng Noey Lee and Apolino Ilagan Dawang
The selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s) due to limited live experiences in managing press...
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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...
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André Andrade Longaray,Anderson Picua Gonçalves,Vilmar Gonçalves Tondolo,Rosana Tondolo,Catia Maria dos Santos Machado
Pág. 1536 - 1555
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Aurelia Bustos and Antonio Pertusa
Interventional cancer clinical trials are generally too restrictive, and some patients are often excluded on the basis of comorbidity, past or concomitant treatments, or the fact that they are over a certain age. The efficacy and safety of new treatments...
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Jihwan Park, Mi Jung Rho, Anatoly Dritschilo, In Young Choi and Seong K. Mun
Background: When a patient presents with localized prostate cancer, referral for radiation oncology consultation includes a discussion of likely outcomes of therapy. Among current radiation treatments for prostate cancers, hypo-fractionated stereotactic ...
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Pouyan Emaeilzadeh, Murali Sambasivan, Hossein Nezakati
Pág. 56 - 68
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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...
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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...
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Ana Teresa Ferreira, Carlos Fernandes, José Vieira and Filipe Portela
Nowadays, there is an increasing need to understand the behavior of COVID-19. After the Directorate-General of Health of Portugal made available the infected patient?s data, it became possible to analyze it and gather some conclusions, obtaining a better...
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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...
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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...
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Alessandro Scirè, Fabrizio Tropeano, Aris Anagnostopoulos and Ioannis Chatzigiannakis
Designing advanced health monitoring systems is still an active research topic. Wearable and remote monitoring devices enable monitoring of physiological and clinical parameters (heart rate, respiration rate, temperature, etc.) and analysis using cloud-c...
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Leonard Hoon,Felix Ter Chian Tan,Rajesh Vasa,Kon Mouzakis,Mark Fitzgerald
In this paper, we present a case study of a decision-support system deployment at The Alfred Hospital, in Melbourne, Australia. This work outlines Information and Communications Technology (ICT) affordances and their actualisations in time-critical clini...
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Chia-Hui Huang, Bak-Sau Yip, David Taniar, Chi-Shin Hwang and Tun-Wen Pai
Electronic Medical Records (EMRs) can be used to create alerts for clinicians to identify patients at risk and to provide useful information for clinical decision-making support. In this study, we proposed a novel approach for predicting Amyotrophic Late...
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Ruslan Vafin,Rashit Nasyrov,Rustem Zulkarneev
Pág. 21 - 28
Currently, one of the promising areas in medicine is personalized medicine, which allows selecting the optimal treatment for each individual patient. Within the framework of the national program "Digital Economy of the Russian Federation", artificial int...
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Ruslan Vafin,Rashit Nasyrov,Rustem Zulkarneev
Pág. 21 - 28
Currently, one of the promising areas in medicine is personalized medicine, which allows selecting the optimal treatment for each individual patient. Within the framework of the national program "Digital Economy of the Russian Federation", artificial int...
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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...
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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...
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Ana Coelho, Paulo Marques, Ricardo Magalhães, Nuno Sousa, José Neves, Victor Alves
Pág. 42 - 52
Multimodal neuroimaging analyses are of major interest for both research and clinical practice, enabling the combined evaluation of the structure and function of the human brain. These analyses generate large volumes of data and consequently increase the...
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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 ...
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