| Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic … B Langenberger, A Thoma, V Vogt BMC medical informatics and decision making 22 (1), 18, 2022 | 12 | 2022 |
| Predicting whether patients will achieve minimal clinically important differences following hip or knee arthroplasty: a performance comparison of machine learning, logistic … B Langenberger, D Schrednitzki, AM Halder, R Busse, CM Pross Bone & Joint Research 12 (9), 512-521, 2023 | 11 | 2023 |
| The application of machine learning to predict high-cost patients: A performance-comparison of different models using healthcare claims data B Langenberger, T Schulte, O Groene PloS one 18 (1), e0279540, 2023 | 6 | 2023 |
| Electronic Patient-Reported Outcome Monitoring to Improve Quality of Life After Joint Replacement: Secondary Analysis of a Randomized Clinical Trial V Steinbeck, B Langenberger, L Schöner, L Wittich, W Klauser, M Mayer, ... JAMA Network Open 6 (9), e2331301-e2331301, 2023 | 4 | 2023 |
| Who benefits from hip arthroplasty or knee arthroplasty? Preoperative patient-reported outcome thresholds predict meaningful improvement B Langenberger, V Steinbeck, R Busse Clinical Orthopaedics and Related Research® 482 (5), 867-881, 2024 | 2 | 2024 |
| The detection and prevention of adverse drug events in nursing home and home care patients: Study protocol of a quasi‐experimental study B Langenberger, N Baier, FC Hanke, J Fahrentholz, C Gorny, S Sehlen, ... Nursing Open 9 (2), 1477-1485, 2022 | 2 | 2022 |
| Machine learning as a tool to identify inpatients who are not at risk of adverse drug events in a large dataset of a tertiary care hospital in the USA B Langenberger British Journal of Clinical Pharmacology 89 (12), 3523-3538, 2023 | 1 | 2023 |
| Stability of hospital quality indicators over time: A multi-year observational study of German hospital data NP Kollmann, B Langenberger, R Busse, C Pross Plos one 18 (11), e0293723, 2023 | 1 | 2023 |
| Exploring treatment effect heterogeneity of a PROMs alert intervention in knee and hip arthroplasty patients: A causal forest application B Langenberger, V Steinbeck, L Schöner, R Busse, C Pross, D Kuklinski Computers in Biology and Medicine 163, 107118, 2023 | 1 | 2023 |
| Gender health gap pre-and post-joint arthroplasty: identifying affected patient-reported health domains V Steinbeck, AY Bischof, L Schöner, B Langenberger, D Kuklinski, ... International Journal for Equity in Health 23 (1), 44, 2024 | | 2024 |
| MSR135 Do You Really Need to See the Doctor? Developing a Machine Learning Approach for Optimal Assignment Rules of Physician Visits for Patients After Knee Replacement J Cordier, B Langenberger, I Salvi, D Kuklinski, A Geissler Value in Health 26 (12), S419, 2023 | | 2023 |
| Electronic Patient-Reported Outcome Monitoring to Improve Quality of Life After Joint Replacement V Steinbeck, B Langenberger, L Schöner, L Wittich, W Klauser, M Mayer, ... | | 2023 |
| Who will stay a little longer? Predicting length of stay in hip and knee arthroplasty patients using machine learning B Langenberger Intelligence-Based Medicine 8, 100111, 2023 | | 2023 |
| Ansätze zur Weiterentwicklung des Systemwettbewerbs zwischen privater und gesetzlicher Krankenversicherung B Langenberger Hochschule RheinMain, Wiesbaden Business School, Health Care Economics, 2017 | | 2017 |
| Intelligence-Based Medicine B Langenberger | | |
