Adil Umer

ORCID: 0000-0002-4681-4486
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About
Contact & Profiles
Research Areas
  • Mobile Health and mHealth Applications
  • Digital Mental Health Interventions
  • Data Quality and Management
  • Health Literacy and Information Accessibility
  • Behavioral Health and Interventions
  • Data-Driven Disease Surveillance
  • Impact of Technology on Adolescents
  • Electronic Health Records Systems
  • Data Mining Algorithms and Applications
  • Artificial Intelligence in Healthcare and Education
  • Technology Use by Older Adults
  • Employment and Welfare Studies
  • Time Series Analysis and Forecasting
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Artificial Intelligence in Healthcare
  • Consumer Packaging Perceptions and Trends
  • Consumer Retail Behavior Studies
  • Stress and Burnout Research
  • Maritime Navigation and Safety
  • Human-Automation Interaction and Safety
  • Workplace Health and Well-being
  • Diabetes Management and Education
  • Dementia and Cognitive Impairment Research
  • Service and Product Innovation
  • Information and Cyber Security

VTT Technical Research Centre of Finland
2018-2024

Abstract With over 17 million annual deaths, cardiovascular diseases (CVDs) dominate the cause of death statistics. CVDs can deteriorate quality life drastically and even sudden death, all while inducing massive healthcare costs. This work studied state-of-the-art deep learning techniques to predict increased risk in CVD patients, building on electronic health records (EHR) 23,000 cardiac patients. Taking into account usefulness prediction for chronic disease a period six months was...

10.1038/s41598-023-30657-1 article EN cc-by Scientific Reports 2023-03-02

Type 2 diabetes can be prevented through lifestyle changes, but sustainable and scalable interventions are still lacking. Habit-based approaches offer an opportunity to induce long-term behavior changes.The purposes of this study were describe internet-based intervention for people at risk type targeted support formation healthy habits explore its user engagement during the first 6 months a randomized controlled trial (RCT).The app provides online store that offers more than 400 simple...

10.2196/15219 article EN cc-by JMIR Diabetes 2020-02-29

The cyber–physical systems (CPSs) of various stakeholders from the mobility, logistics, and security sectors are needed to enable smart secure situational awareness operations in a port environment. motivation for this research arises challenges caused by some unexpected events, such as accidents, multi-stakeholder critical Due scale, complexity, cost safety challenges, simulation-based approach was selected basis study. Prototype-level experimental solutions dataspaces data sharing...

10.3390/systems12100389 article EN cc-by Systems 2024-09-25

Traumatic brain injury (TBI) occurs when an external force causes functional or structural alterations in the brain. Clinical characteristics of TBI vary greatly from patient to patient, and a large amount data is gathered during various phases clinical care these patients. It hard for clinicians efficiently integrate interpret all plan interventions timely manner. This paper describes technical architecture functionality web-based decision support system (DSS), which not only provides...

10.1109/jbhi.2018.2842717 article EN IEEE Journal of Biomedical and Health Informatics 2018-06-01

Abstract For preventing chronic diseases, reducing modifiable lifestyle risk factors is crucial. Digital health interventions (DHIs) hold promise for reaching large population groups, but raise equity concerns. A subgroup (n=6978) of 20 to 74-year-old participants the population-based Healthy Finland survey were offered an opportunity start using a web-based DHI, aiming support adoption healthy habits. We used adjusted logistic regression models identify significant predictors DHI uptake....

10.1101/2024.03.18.24304467 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2024-03-19

Background Healthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare and integrating it with additional open social in secure way can support the monumental challenge policy-makers face safely accessing all relevant assist managing health wellbeing all. The goal this study was develop novel platform within MIDAS (Meaningful Integration Data Analytics Services) project, that harnesses potential latent combination...

10.3389/fpubh.2022.838438 article EN cc-by Frontiers in Public Health 2022-03-31

Cognitive functioning is a relevant work and health related topic, however, validated methods to assess subjective cognitive complaints (SCC) at are lacking. We introduce the Function Work Questionnaire (CFWQ) for measuring SCC in occupational settings. 1-year follow-up data of 418 employees from Finnish public media service company was analyzed. Participants completed web-based CFWQ, tests broad set questionnaires evaluating depression, anxiety, insomnia, daytime sleepiness, burnout,...

10.1080/23279095.2021.1970553 article EN Applied Neuropsychology Adult 2021-09-05

<sec> <title>BACKGROUND</title> Digital behavior change interventions (DBCI) may provide scalable and cost-effective means to support lifestyle improvements thus help prevent type 2 diabetes (T2D). The DBCIs require some minimum amount of engagement evoke health benefits. However, sufficient engagement, i.e., effective is not completely understood. </sec> <title>OBJECTIVE</title> We aimed describe user with a habit-formation-based multimodal DBCI, the BitHabit app, analyze associations...

10.2196/preprints.50361 preprint EN 2023-06-29

Background and objectives: A concept of personalized eating originates from nutrition, where dietary advice is tailored to an individual. In nutrition solutions, more based on clinical biomarkers, genetics, the gut microbiome. However, there evidence that only personal data effective in facilitating changes intakes. Thus, aim create a solution: prototype platform recommends foods by linking individual's with product information via specified rules. Methods: The integrated external global...

10.3390/proceedings2023091028 article EN cc-by 2023-11-14

Type 2 diabetes (T2D) can be prevented or delayed through a healthy lifestyle. Digital behavior change interventions (DBCIs) may offer cost-effective and scalable means to support lifestyle changes. This study investigated associations between user engagement with habit-formation-based DBCI, the BitHabit app, changes in T2D risk factors over 12 months 963 participants at of T2D. User was characterized by calculating use metrics from log data. ratings were used as subjective measure...

10.3233/shti230328 article EN cc-by-nc Studies in health technology and informatics 2023-05-18

<sec> <title>BACKGROUND</title> Type 2 diabetes can be prevented through lifestyle changes, but sustainable and scalable interventions are still lacking. Habit-based approaches offer an opportunity to induce long-term behavior changes. </sec> <title>OBJECTIVE</title> The purposes of this study were describe internet-based intervention for people at risk type targeted support formation healthy habits explore its user engagement during the first 6 months a randomized controlled trial (RCT)....

10.2196/preprints.15219 preprint EN 2019-06-27

<sec> <title>BACKGROUND</title> Healthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare and integrating it with additional open social in secure way can support the monumental challenge policy-makers face safely accessing all relevant assist managing health wellbeing all. </sec> <title>OBJECTIVE</title> The goal this study was develop novel platform within MIDAS (Meaningful Integration Data Analytics Services)...

10.2196/preprints.32944 preprint EN 2021-08-16
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