onr:"swepub:oai:DiVA.org:ri-65702"
Search: onr:"swepub:oai:DiVA.org:ri-65702" > Unleashing the Powe...
- 1 of 1
- Previous record
- Next record
- To hitlist
- Jacobson, PetraLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Lungmedicinska kliniken US (author)
Unleashing the Power of Very Small Data to Predict Acute Exacerbations of Chronic Obstructive Pulmonary Disease
- Article/chapterEnglish2023
Publisher, publication year, extent ...
- Dove Medical Press Ltd,2023
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:ri-65702
- https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-65702URI
- https://doi.org/10.2147/COPD.S412692DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-196950URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- This work was supported by grants to P.K.J. and H.L.P from the Medical Research Council of Southeast Sweden (FORSS) (Grant No. FORSS-969385, FORSS-980999) and grants to L.L and H.L.P. from Sweden’s innovation agency Vinnova (Dnr: 2019-05402) in Swelife’s and Medtech4Health’s Collaborative projects for better health programme.
- Funding Agencies|Medical Research Council of Southeast Sweden (FORSS) [FORSS-969385, FORSS-980999]; Swedens innovation agency Vinnova [2019-05402]
- Introduction: In this article, we explore to what extent it is possible to leverage on very small data to build machine learning (ML) models that predict acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Methods: We build ML models using the small data collected during the eHealth Diary telemonitoring study between 2013 and 2017 in Sweden. This data refers to a group of multimorbid patients, namely 18 patients with chronic obstructive pulmonary disease (COPD) as the major reason behind previous hospitalisations. The telemonitoring was supervised by a specialised hospital-based home care (HBHC) unit, which also was responsible for the medical actions needed. Results: We implement two different ML approaches, one based on time-dependent covariates and the other one based on time-independent covariates. We compare the first approach with standard COX Proportional Hazards (CPH). For the second one, we use different proportions of synthetic data to build models and then evaluate the best model against authentic data. Discussion: To the best of our knowledge, the present ML study shows for the first time that the most important variable for an increased risk of future AECOPDs is “maintenance medication changes by HBHC”. This finding is clinically relevant since a sub-optimal maintenance treatment, requiring medication changes, puts the patient in risk for future AECOPDs. Conclusion: The experiments return useful insights about the use of small data for ML. © 2023 Jacobson et al.
Subject headings and genre
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Lungmedicin och allergi hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Respiratory Medicine and Allergy hsv//eng
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Kardiologi hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Cardiac and Cardiovascular Systems hsv//eng
- COX proportional hazards
- machine learning
- mHealth
- random forests
- random survival forests
- telehealth or digital health
- Disease Progression
- Humans
- Pulmonary Disease
- Chronic Obstructive
- Sweden
- chronic obstructive lung disease
- disease exacerbation
- human
Added entries (persons, corporate bodies, meetings, titles ...)
- Lind, LeiliLinköpings universitet,RISE,Prototypande samhälle,Linköping University, Sweden,Avdelningen för medicinsk teknik,Tekniska fakulteten,RISE Res Inst Sweden, Digital Syst Div, Unit Digital Hlth, Linkoping, Sweden(Swepub:liu)leili06 (author)
- Persson, LennartLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Lungmedicinska kliniken US(Swepub:liu)lenpe27 (author)
- Linköpings universitetAvdelningen för diagnostik och specialistmedicin (creator_code:org_t)
Related titles
- In:The International Journal of Chronic Obstructive Pulmonary Disease: Dove Medical Press Ltd18, s. 1457-14731176-91061178-2005
Internet link
Find in a library
- The International Journal of Chronic Obstructive Pulmonary Disease (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Jacobson, Petra
- Lind, Leili
- Persson, Lennart
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Respiratory Medi ...
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Cardiac and Card ...
- Articles in the publication
- The Internationa ...
- By the university
- RISE
- Linköping University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
