| Case-based reasoning for complexity management in Industry 4.0 P Schott, M Lederer, I Eigner, F Bodendorf Journal of Manufacturing Technology Management 31 (5), 999-1021, 2020 | 19 | 2020 |
| Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group I Eigner, F Bodendorf, N Wickramasinghe Proc 11th Int Conf Bioinforma Comput Biol BiCOB 2019, 94-103, 2019 | 12 | 2019 |
| Success factors for national eHealth strategies: a comparative analysis of the Australian and German eHealth system I Eigner, A Hamper, N Wickramasinghe, F Bodendorf International Journal of Networking and Virtual Organisations 21 (4), 399-424, 2019 | 5 | 2019 |
| A literature review on predicting unplanned patient readmissions I Eigner, A Cooney Delivering Superior Health and Wellness Management with IoT and Analytics …, 2020 | 4 | 2020 |
| Development and evaluation of ensemble-based classification models for predicting unplanned hospital readmissions after hysterectomy I Eigner, D Reischl, F Bodendorf | 4 | 2018 |
| A theoretical framework for research on readmission risk prediction I Eigner, F Bodendorf, N Wickramasinghe Handbook of research on optimizing healthcare management techniques, 282-298, 2020 | 3 | 2020 |
| Decision Makers and Criteria for Patient Discharge-A Qualitative Study I Eigner, A Hamper, N Wickramasinghe, F Bodendorf | 3 | 2017 |
| Dementia monitoring with artificial intelligence A Hamper, I Eigner Contemporary consumer health informatics, 53-71, 2016 | 3 | 2016 |
| Using collective intelligence to generate trend-based travel recommendations S Schlick, I Eigner, A Fechner 2015 7th International Joint Conference on Knowledge Discovery, Knowledge …, 2015 | 3 | 2015 |
| An intelligent decision support system for readmission prediction in healthcare I Eigner, F Bodendorf it-Information Technology 60 (4), 195-205, 2018 | 2 | 2018 |
| Readmission risk prediction for patients after total hip or knee arthroplasty I Eigner, L Tajak, F Bodendorf, N Wickramasinghe | 2 | 2017 |
| Rehabilitation Risk Management: Enabling Data Analytics with Quantified Self and Smart Home Data A Hamper, I Eigner, N Wickramasinghe, F Bodendorf Health Informatics Meets eHealth, 152-160, 2017 | 2 | 2017 |
| A Comparative Analysis of the Australian and German eHealth System I Eigner, A Hamper, N Wickramasinghe, F Bodendorf Bled eConference, 2016 | 2 | 2016 |
| Mining Customer Satisfaction on B2B Online Platforms using Service Quality and Web Usage Metrics I Figalist, M Dieffenbacher, I Eigner, J Bosch, HH Olsson, C Elsner 2020 27th Asia-Pacific Software Engineering Conference (APSEC), 435-444, 2020 | 1 | 2020 |
| An intelligent clinical decision support system to determine the optimal time of patient discharge in hospitals I Eigner, F Bodendorf | 1 | 2020 |
| Decision support for patient discharge in hospitals–analyzing the relationship between length of stay and readmission risk, cost, and profit I Eigner, F Bodendorf Services–SERVICES 2020: 16th World Congress, Held as Part of the Services …, 2020 | 1 | 2020 |
| Predictive analytics in health care: methods and approaches to identify the risk of readmission I Eigner, A Hamper Theories to Inform Superior Health Informatics Research and Practice, 55-73, 2018 | 1 | 2018 |
| Persuasive technologies and behavior modification through technology: Design of a mobile application for behavior change A Hamper, I Eigner, A Popp Theories to Inform Superior Health Informatics Research and Practice, 163-184, 2018 | 1 | 2018 |
| A Comparative Review of Descriptive Process Models in Healthcare Operations Management and Analytics I Eigner, M Harl, D Neumann Dimensions of Intelligent Analytics for Smart Digital Health Solutions, 153-188, 2024 | | 2024 |
| Predictive analytics of readmission risk in hospitals for an intelligent decision support system I Eigner University of Erlangen-Nuremberg, Germany, 2021 | | 2021 |
