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The House of Carbs: Personalized Carbohydrate Dispenser for People with Diabetes
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
Patients with diabetes are often worried about having low blood glucose because of the unpleasant feeling and possible dangerous situations this can lead to. This can make patients consume more carbohydrates than necessary. Ad-hoc carbohydrate estimation and dosing by the patients can be unreliable and may produce unwanted periods of high blood glucose. In this paper we present a system that ...
A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)
<i>Background</i>: Semisupervised and unsupervised anomaly detection methods have been widely used in various applications to detect anomalous objects from a given data set. Specifically, these methods are popular in the medical domain because of their suitability for applications where there is a lack of a sufficient data set for the other classes. Infection incidence often brings prolonged ...
Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-12)
<i>Background</i>: Type 1 diabetes is a chronic condition of blood glucose metabolic disorder caused by a lack of insulin secretion from pancreas cells. In people with type 1 diabetes, hyperglycemia often occurs upon infection incidences. Despite the fact that patients increasingly gather data about themselves, there are no solid findings that uncover the effect of infection incidences on key ...
Preliminary Evaluation of a mHealth Coaching Conversational Artificial Intelligence for the Self-Care Management of People with Sickle-Cell Disease
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
Adherence to the complex set of recommended self-care practices among people with Sickle-Cell Disease (SCD) positively impacts health outcomes. However, few patients possess the required skills (i.e. disease-specific knowledge, adequate levels of self-efficacy). Consequently, adherence rates remain low and only 1% of patients are empowered enough to master the self-care practices. Health coaching ...
Information and communication technology-based interventions for chronic diseases consultation: Scoping review
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-29)
Background: Medical consultations are often critical meetings between patients and health personnel to provide
treatment, health-management advice, and exchange of information, especially for people living with chronic
diseases. The adoption of patient-operated Information and Communication Technologies (ICTs) allows the
patients to actively participate in their consultation and treatment.
The ...
Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-23)
Background: Consumer-based physical activity trackers have increased in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. The challenges include the large heterogeneity between activity tracker models in terms of available data types, the accuracy of recorded data, and how ...
Dataset of Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-01)
Physical activity (PA) data were downloaded from 113 participants who owned a Garmin or Fitbit activity tracker in
2019 and 2020. Upon participant authorization, data were
automatically downloaded from the Garmin and Fitbit cloud
storages. The mSpider tool, a solution for automatic and continuous data extraction from activity tracker providers, were
used to download participant data. Available ...
User Expectations and Willingness to Share Self-Collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ...
What motivates patients with NCDs to follow up their treatment?
(Conference object; Konferansebidrag, 2021-05)
The increasing use of mobile health (mHealth) tools for self-management is considered
to be important to improve health effects for patients with chronic NCDs
(noncommunicable diseases). This development is supported by an increasing number
of available mHealth apps. The apps range from disease management apps (e.g., diabetes
diary) to health and fitness apps (e.g., dietary apps and workout ...
User Expectations and Willingness to Share Self-collected Health Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
The rapid improvement in mobile health technologies revolutionized what and how people can self-record and manage data. This massive amount of information accumulated by these technologies has potentially many applications beyond personal need, i.e. for public health. A challenge with collecting this data is to motivate people to share this data for the benefit of all. The purpose of this study is ...