Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review.
Andreas K TriantafyllidisHaridimos KondylakisDimitrios G KatehakisAngelina KouroubaliLefteris KoumakisKonstantinos MariasAnastasios AlexiadisKonstantinos VotisDimitrios TzovarasPublished in: JMIR mHealth and uHealth (2022)
The use of DL can facilitate the diagnosis, management, and treatment of major chronic diseases by harnessing mHealth data. Prospective studies are now required to demonstrate the value of applied DL in real-life mHealth tools and interventions.
Keyphrases
- cardiovascular disease
- systematic review
- deep learning
- type diabetes
- big data
- papillary thyroid
- meta analyses
- electronic health record
- artificial intelligence
- machine learning
- squamous cell
- randomized controlled trial
- squamous cell carcinoma
- cardiovascular risk factors
- cardiovascular events
- glycemic control
- lymph node metastasis
- metabolic syndrome
- adipose tissue
- data analysis
- combination therapy
- skeletal muscle