14   Artículos

 
en línea
Amanda L. Luo, Akshay Ravi, Simone Arvisais-Anhalt, Anoop N. Muniyappa, Xinran Liu and Shan Wang    
(1) One in four hospital readmissions is potentially preventable. Machine learning (ML) models have been developed to predict hospital readmissions and risk-stratify patients, but thus far they have been limited in clinical applicability, timeliness, and... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Petr Kudrna    
High-frequency jet ventilators lacking flow monitoring systems, and information about supplied tidal volumes are still missing. This complicates the jet ventilator?s initial setting; at the same time, it complicates the line of the high-frequency ventila... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Miguel Pereira, Patricia Concheiro-Moscoso, Alexo López-Álvarez, Gerardo Baños, Alejandro Pazos and Javier Pereira    
The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons? dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the pa... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa and Ryuji Hamamoto    
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate diagnos... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Javier Marin, Jose J. Marin, Teresa Blanco, Juan de la Torre, Inmaculada Salcedo and Elena Martitegui    
In the rehabilitation field, clinicians are continually struggling to assess improvements in patients following interventions. In this paper, we propose an approach to use gait analysis based on inertial motion capture (MoCap) to monitor individuals duri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Van-Thuc Tran, Kota Sasaki and Shin-ichiroh Yamamoto    
In recent years, the Body Weight Support system has been considered to be an indispensable component in gait training systems, which be used to improve the ability to walk of hemiplegic, stroke, and spinal cord injury patients. Previous studies investiga... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Maria João Forjaz, Carmen Rodriguez-Blazquez, Inmaculada Guerrero-Fernández de Alba, Antonio Gimeno-Miguel, Kevin Bliek-Bueno, Alexandra Prados-Torres and on behalf of the CHRODIS Expert Group on Multimorbidity    
The Integrated Multimorbidity Care Model (IMCM), developed by the Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS), proposes a set of 16 multidimensional components (i.e., recommendations) to improve the ca... ver más

« Anterior     Página: 1 de 1     Siguiente »