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The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial

The Ecofisio Mobile App for Assessment and Diagnosis Using Ultrasound Imaging for Undergraduate Health Science Students: Multicenter Randomized Controlled Trial

In the case of the use of a mobile app, this study resulted in an improvement in all the components of the ultrasound assessment, being broader than those presented previously by Fernández-Lao et al [26]; that study, which also used a mobile app, showed no

Mario Lozano-Lozano, Noelia Galiano-Castillo, Carolina Fernández-Lao, Paula Postigo-Martin, Francisco Álvarez-Salvago, Manuel Arroyo-Morales, Irene Cantarero-Villanueva

J Med Internet Res 2020;22(3):e16258

A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing

A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing

Matilde Mora Fernández also has experience in the field of PA in oncology and provided useful insights to the team at different stages of the design process.Theoretical FoundationTo guide the design process, we used applicable behavior change theory, with the

Francisco Monteiro-Guerra, Gabriel Ruiz Signorelli, Shreya Tadas, Enrique Dorronzoro Zubiete, Octavio Rivera Romero, Luis Fernandez-Luque, Brian Caulfield

JMIR Mhealth Uhealth 2020;8(7):e17552

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Fernando Figueira - IMIP, from January 2015 to July 2016. The IMIP is a teaching hospital and cancer center located in Recife, Pernambuco, Brazil. On admission to the cohort database, the patients were evaluated by CGA questionnaires presented in Table 1.

Gabrielle Ribeiro Sena, Tiago Pessoa Ferreira Lima, Maria Julia Gonçalves Mello, Luiz Claudio Santos Thuler, Jurema Telles Oliveira Lima

JMIR Cancer 2019;5(2):e12163

Does Telehealth Monitoring Identify Exacerbations of Chronic Obstructive Pulmonary Disease and Reduce Hospitalisations? An Analysis of System Data

Does Telehealth Monitoring Identify Exacerbations of Chronic Obstructive Pulmonary Disease and Reduce Hospitalisations? An Analysis of System Data

Fernández-Granero et al [11] were able to detect AECOPDs an average of 4.8 days before onset with 80.5% accuracy using a questionnaire analyzed by a probabilistic neural network, but this approach is not part of the standard care pathway and adds an incremental

Melissa Kargiannakis, Deborah A Fitzsimmons, Claire L Bentley, Gail A Mountain

JMIR Med Inform 2017;5(1):e8

Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature

Identifying Measures Used for Assessing Quality of YouTube Videos with Patient Health Information: A Review of Current Literature

In addition, Fernández-Luque et al found a correlation between the quality of diabetes videos and social network metrics [31]. In social networks, peers have an important role on endorsing the quality of content via ratings and flagging harmful content. 

Elia Gabarron, Luis Fernandez-Luque, Manuel Armayones, Annie YS Lau

Interact J Med Res 2013;2(1):e6