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1.
A machine learning approach using stone volume to predict stone-free status at ureteroscopy.
World J Urol
; 42(1): 344, 2024 May 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38775943
2.
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study.
J Med Internet Res
; 25: e44804, 2023 05 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37126593
3.
Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation.
J Med Internet Res
; 24(6): e37004, 2022 06 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35653606
4.
A summary of the ComParE COVID-19 challenges.
Front Digit Health
; 5: 1058163, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36969956
5.
Sounds of COVID-19: exploring realistic performance of audio-based digital testing.
NPJ Digit Med
; 5(1): 16, 2022 Jan 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-35091662
6.
The feasibility of the PAM intervention to support treatment-adherence in people with hypertension in primary care: a randomised clinical controlled trial.
Sci Rep
; 11(1): 8897, 2021 04 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-33903656
7.
Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study.
Pilot Feasibility Stud
; 6: 134, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32974043
8.
Correction to: Assessing the acceptability of a text messaging service and smartphone app to support patient adherence to medications prescribed for high blood pressure: a pilot study.
Pilot Feasibility Stud
; 6: 152, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33042572
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