|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Iza Korpar and Igor Frange?
(1) Background: Preservation surgery of the diabetic foot aims at tissue sparing to avoid further pathological changes from developing, while ultimately preserving the limb. For this purpose, osteoregenerative, antimicrobial, and osteostimulative materia...
ver más
|
|
|
|
|
|
|
|
|
|
|
Francesca Sasanelli, Khang Duy Ricky Le, Samuel Boon Ping Tay, Phong Tran and Johan W. Verjans
The advent of many popular commercial forms of natural language processing tools has changed the way we can utilise digital technologies to tackle problems with big data. The objective of this review is to evaluate the current research and landscape of n...
ver más
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|