A framework for smartphone-enabled, patient-generated health data analysis.

ABSTRACT:

Background

Digital medicine and smartphone-enabled health technologies provide a novel source of human health and human biology data. However, in part due to its intricacies, few methods have been established to analyze and interpret data in this domain. We previously conducted a six-month interventional trial examining the efficacy of a comprehensive smartphone-based health monitoring program for individuals with chronic disease. This included 38 individuals with hypertension who recorded 6,290 blood pressure readings over the trial.

Methods

In the present study, we provide a hypothesis testing framework for unstructured time series data, typical of patient-generated mobile device data. We used a mixed model approach for unequally spaced repeated measures using autoregressi

SUBMITTER: Gollamudi SS 

PROVIDER: S-EPMC4975026 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature