18   Artículos

 
en línea
Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma    
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for... ver más
Revista: Applied Sciences    Formato: Electrónico

 
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
Moonseong Heo, Kevin Taaffe, Ankita Ghadshi, Leigh D. Teague, Jeffrey Watts, Snehal S. Lopes, Peter Tilkemeier and Alain H. Litwin    
Transitional care programs (TCPs), where hospital care team members repeatedly follow up with discharged patients, aim to reduce post-discharge hospital or emergency department (ED) utilization and healthcare costs. We examined the effectiveness of TCPs ... ver más

 
en línea
Alireza Tavakolian, Alireza Rezaee, Farshid Hajati and Shahadat Uddin    
Hospital readmission and length-of-stay predictions provide information on how to manage hospital bed capacity and the number of required staff, especially during pandemics. We present a hybrid deep model called the Genetic Algorithm-Optimized Convolutio... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Nompilo Moyo, Martin Jones, Shaun Dennis, Karan Sharma, Michael McKeown and Richard Gray    
Higher levels of educational preparation for nurses are associated with lower mortality rates in both medical and surgical wards. In mental health inpatient wards, few studies have examined whether specialist mental health nurse training has any impact o... ver más

 
en línea
Haohui Lu and Shahadat Uddin    
Artificial intelligence is changing the practice of healthcare. While it is essential to employ such solutions, making them transparent to medical experts is more critical. Most of the previous work presented disease prediction models, but did not explai... ver más
Revista: Information    Formato: Electrónico

 
en línea
Masahiro Kitamura, Kazuhiro P. Izawa, Masakazu Yaekura, Yumi Mimura, Yuichi Ikeda, Hitomi Nagashima and Peter H. Brubaker    
Purpose: This investigation aimed to examine the relationship among activities of daily living (ADL), nutritional status and 90-day hospital readmission in elderly heart failure (HF) patients. Methods: Participants were selected from 634 HF patients cons... ver más

 
en línea
Elena Vlahu-Gjorgievska,Swetha Nagapuri,Khin Than Win    
Telehealth interventions are designed to facilitate the remote exchange of information and data between patients and health care providers, improving the quality and safety of the patients and increasing efficiency and cost-effectiveness of health care p... ver más
Revista: Australasian Journal of Information Systems    Formato: Electrónico

 
en línea
Georgios I. Tagarakis, Costas Dikeos, Nikolaos Tsilimingas, Charalampos Tsairidis, Fani Tsolaki, Marios Daskalopoulos, Nikolaos Polyzos     Pág. 2986 - 2987
Aim. To evaluate the Greek Diagnosis Related Groups(DRG's)system in regard to the procedure of total hip arthroplasty.Methods. In a tertiary university orthopedics department implementing clinical protocols we recruited 75 consecutive patients planned to... ver más

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