Thomas Schmidt
Thomas Schmidt
Associate Professor, SDU Health Informatics and Technology
Verificeret mail på mmmi.sdu.dk
Citeret af
Citeret af
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
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
Overcoming the monetization challenge in freemium online games
A Beltagui, T Schmidt, M Candi, DL Roberts
Industrial Management & Data Systems, 2019
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
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
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
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
Identifying patients at risk of deterioration in the Joint Emergency Department
T Schmidt, UK Wiil
Cognition, Technology & Work 17 (4), 529-545, 2015
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
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
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
Online medication information for citizens: A comparison of demands on ehealth literacy
H Monkman, T Schmidt, C Nøhr
Digital Personalized Health and Medicine, 1026-1030, 2020
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
Development of an internet-delivered program and platform for the treatment of depression and anxiety in patients with ischemic heart disease in eMindYourHeart
T Schmidt, R Kok, CM Andersen, SJ Skovbakke, R Ahm, UK Wiil, ...
Informatics for Health and Social Care 46 (2), 178-191, 2021
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
A Patient Deterioration Warning System for Boosting Situational Awareness of Monitored Patients
T Schmidt, AT Lassen, UK Wiil
2nd IEEE International Conference on Healthcare Informatics, 129-138, 0
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
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
Factors related to monitoring during admission of acute patients
T Schmidt, CLN Bech, M Brabrand, UK Wiil, AT Lassen
Journal of Clinical Monitoring and Computing 31 (3), 641–649, 2017
A 3-Staged Approach to Identifying Patients at Risk of Deterioration in Emergency Departments.
T Schmidt, UK Wiil
HEALTHINF, 470-477, 2015
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