A carregar...
Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study
BACKGROUND: Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing...
Na minha lista:
| Publicado no: | J Med Internet Res |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications
2020
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7367527/ https://ncbi.nlm.nih.gov/pubmed/32602842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/15547 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|