Search Articles

View query in Help articles search
e.g. John Smith or 0000-0001-6479-5330

Search Results (1 to 2 of 2 Results)

Download search results: CSV END BibTex RIS

Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches

Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches

Under a naive Bayes classifier, continuous predictors may be assumed to follow independent univariate normal distributions with a separate mean and variance estimated for each class. Given a feature vector (list of predictor values), the predicted class is then inferred probabilistically via the Bayes rule [15].

Julie Gandrup, David A Selby, William G Dixon

JMIR Form Res 2024;8:e50679

Download Citation: END BibTex RIS

Download PDF Download XML
Article has an altmetric score of 4

Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study

Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study

Cloudy with a Chance of Pain is a UK smartphone-based, prospective cohort study investigating the link between the weather and pain in people with chronic pain. Specifically, Cloudy with a Chance of Pain seeks to investigate whether self-reported pain severity is associated with weather variables and whether the observed relationships differ between specific patient groups.

Katie L L Druce, John McBeth, Sabine N van der Veer, David A Selby, Bertie Vidgen, Konstantinos Georgatzis, Bruce Hellman, Rashmi Lakshminarayana, Afiqul Chowdhury, David M Schultz, Caroline Sanders, Jamie C Sergeant, William G Dixon

JMIR Mhealth Uhealth 2017;5(11):e168

Download Citation: END BibTex RIS

Download PDF Download XML
Article has an altmetric score of 15