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Thomas Schmidt
Thomas Schmidt
Associate Professor, SDU Health Informatics and Technology
Verified email at mmmi.sdu.dk
Title
Cited by
Cited by
Year
Predicting Dropouts From an Electronic Health Platform for Lifestyle Interventions: Analysis of Methods and Predictors
DH Pedersen, M Mansourvar, C Sortsø, T Schmidt
Journal of medical Internet research 21 (9), e13617, 2019
702019
Development of a web-based health care intervention for patients with heart disease: lessons learned from a participatory design study
B Noergaard, M Sandvei, N Rottmann, H Johannessen, U Wiil, T Schmidt, ...
JMIR research protocols 6 (5), e7084, 2017
412017
Machine learning techniques for mortality prediction in emergency departments: a systematic review
A Naemi, T Schmidt, M Mansourvar, M Naghavi-Behzad, A Ebrahimi, ...
BMJ open 11 (11), e052663, 2021
352021
Overcoming the monetization challenge in freemium online games
A Beltagui, T Schmidt, M Candi, DL Roberts
Industrial Management & Data Systems 119 (6), 1339-1356, 2019
322019
Why Can’t We All Get Along?: A study of Hygge and Janteloven in a Danish social-casual games community
A Beltagui, T Schmidt
Games and Culture, 2016
282016
Efficacy and cost-effectiveness of a therapist-assisted web-based intervention for depression and anxiety in patients with ischemic heart disease attending cardiac …
SS Pedersen, CM Andersen, R Ahm, SJ Skovbakke, R Kok, C Helmark, ...
BMC Cardiovascular Disorders 21 (1), 1-10, 2021
262021
Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI)
I Fasterholdt, T Kjølhede, M Naghavi-Behzad, T Schmidt, ...
International Journal of Technology Assessment in Health Care 38 (1), e74, 2022
212022
Using a Mobile Diary App in the Treatment of Borderline Personality Disorder: Mixed Methods Feasibility Study
S Helweg-Joergensen, T Schmidt, MB Lichtenstein, SS Pedersen
JMIR Formative Research 3 (3), e12852, 2019
212019
Quantifying the impact of addressing data challenges in prediction of length of stay
A Naemi, T Schmidt, M Mansourvar, A Ebrahimi, UK Wiil
BMC medical informatics and decision making 21 (1), 1-13, 2021
182021
Predicting the risk of alcohol use disorder using machine learning: a systematic literature review
A Ebrahimi, UK Wiil, T Schmidt, A Naemi, AS Nielsen, GM Shaikh, ...
IEEE Access 9, 151697-151712, 2021
182021
Internet-based treatment of anxiety and depression in patients with ischaemic heart disease attending cardiac rehabilitation: a feasibility study (eMindYourHeart)
C Helmark, R Ahm, CM Andersen, SJ Skovbakke, R Kok, UK Wiil, ...
European Heart Journal-Digital Health 2 (2), 323-335, 2021
142021
Effectiveness of a comprehensive interactive eHealth intervention on patient-reported and clinical outcomes in patients with an implantable cardioverter defibrillator [ACQUIRE …
SS Pedersen, SJ Skovbakke, UK Wiil, T Schmidt, R dePont Christensen, ...
BMC Cardiovascular Disorders 18 (1), 1-12, 2018
132018
Identifying patients at risk of deterioration in the Joint Emergency Department
T Schmidt, UK Wiil
Cognition, Technology & Work 17 (4), 529-545, 2015
132015
Development of a health information system to promote emergency care pathways: A participatory design study
C Østervang, A Lassen, T Schmidt, E Coyne, KB Dieperink, CM Jensen
Digital Health 8, 20552076221145856, 2022
112022
A Simple Assessment of Information Security Awareness in Hospital Staff Across Five Danish Regions
T Schmidt, C Nøhr, R Koppel
Public Health and Informatics, 635-639, 2021
112021
Prediction of patients severity at emergency department using NARX and ensemble learning
A Naemi, M Mansourvar, T Schmidt, UK Wiil
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
102020
Agility in a small software firm: A sense-and-respond analysis
T Schmidt, L Mathiassen
International Journal of Business Information Systems 4 (1), 85-104, 2009
92009
Personalized predictive models for identifying clinical deterioration using LSTM in Emergency departments
A Naemi, T Schmidt, M Mansourvar, UK Wiil
Stud Health Technol Inf 275, 152-156, 2020
82020
A personalized and interactive web-based health care innovation to advance the quality of life and Care of Patients with Heart Failure (ACQUIRE-HF): a mixed methods feasibility …
SS Pedersen, T Schmidt, SJ Skovbakke, UK Wiil, K Egstrup, ...
JMIR Research Protocols 6 (5), e7110, 2017
82017
Facilitating HIE in Denmark: the story of MedCom, a Danish health information organization
BE Dixon, T Schmidt, C Nøhr
Health Information Exchange, 579-601, 2023
72023
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