eLearning for undergraduate health professional education: a systematic review informing a radical transformation of health workforce development N Al Shorbaji, R Atun, J Car, A Majeed, EL Wheeler, D Beck, JM Belisario, ... World Health Organization, 2015 | 182 | 2015 |
Offline eLearning for undergraduates in health professions: a systematic review of the impact on knowledge, skills, attitudes and satisfaction K Rasmussen, JM Belisario, PA Wark, JA Molina, SL Loong, Z Cotic, ... Journal of global health 4 (1), 2014 | 110 | 2014 |
General and specific formalization approach for a Balanced Scorecard: An expert system with application in health care H Kunz, T Schaaf Expert systems with applications 38 (3), 1947-1955, 2011 | 47 | 2011 |
Predicting the risk of cancer in adults using supervised machine learning: a scoping review AA Alfayez, H Kunz, AG Lai BMJ open 11 (9), e047755, 2021 | 25 | 2021 |
Digital transformation of cancer care in the era of big data, artificial intelligence and data-driven interventions: navigating the field N Papachristou, G Kotronoulas, N Dikaios, SJ Allison, ... Seminars in oncology nursing 39 (3), 151433, 2023 | 22 | 2023 |
Prediction of Alzheimer's disease from magnetic resonance imaging using a convolutional neural network K De Silva, H Kunz Intelligence-Based Medicine 7, 100091, 2023 | 19 | 2023 |
Framework for an IT-supported balanced scorecard in health care H Kunz, T Schaaf, J Braun, T Tolxdorff Third International Conference on Information Technology and Applications …, 2005 | 12 | 2005 |
Offline eLearning for undergraduates in health professions: a systematic review of the impact on knowledge, skills, attitudes and satisfaction. J Glob Health. 2014 Jun; 4 (1 … K Rasmussen, JM Belisario, PA Wark, JA Molina, SL Loong, Z Cotic, ... | 11 | |
Feature extraction and supervised classification of MR images to support proton radiation therapy of eye tumors H Kunz, C Derz, T Tolxdorff, J Bernarding Computer methods and programs in biomedicine 73 (3), 195-202, 2004 | 9 | 2004 |
Insights into pharmacotherapy management for Parkinson's disease patients using wearables activity data V Nguyen, H Kunz, P Taylor, D Acosta Building Continents of Knowledge in Oceans of Data: The Future of Co-Created …, 2018 | 8 | 2018 |
Artificial intelligence models for predicting cardiovascular diseases in people with type 2 diabetes: a systematic review M Wang, F Francis, H Kunz, X Zhang, C Wan, Y Liu, P Taylor, SH Wild, ... Intelligence-Based Medicine 6, 100072, 2022 | 7 | 2022 |
Automated classification of total knee replacement prosthesis on plain film radiograph using a deep convolutional neural network SC Belete, V Batta, H Kunz Informatics in Medicine Unlocked 25, 100669, 2021 | 7 | 2021 |
A national initiative in data science for health: an evaluation of the UK Farr Institute H Hemingway, R Lyons, Q Li, I Buchan, J Ainsworth, J Pell, A Morris, ... International Journal of Population Data Science 5 (1), 2020 | 6 | 2020 |
XML knowledge database of MRI-derived eye models H Kunz, C Derz, T Tolxdorff, J Bernarding Computer methods and programs in biomedicine 73 (3), 203-208, 2004 | 6 | 2004 |
A machine learning solution to predict elective orthopedic surgery case duration D Sahadev, T Lovegrove, H Kunz Advances in Informatics, Management and Technology in Healthcare, 559-561, 2022 | 4 | 2022 |
Call for better systems and data to support artificial intelligence for pandemic response DW Bates, A Syrowatka, K Rhee, GP Jackson, A Alfayez, H Kunz BMJ health & care informatics 29 (1), 2022 | 4 | 2022 |
Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging HK Ryan Chin Taw Cheong, Susan Jawad, Ashok Adams, Thomas Campion, Zhe Hong ... European Archives of Oto-Rhino-Laryngology, 2024 | 3 | 2024 |
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest E Groves, M Wang, Y Abdulle, H Kunz, J Hoelscher-Obermaier, R Wu, ... arXiv preprint arXiv:2312.12989, 2023 | 3 | 2023 |
Using machine learning to improve personalised prediction: A data-driven approach to segment and stratify populations for healthcare W Yuill, H Kunz Informatics and Technology in Clinical Care and Public Health, 29-32, 2022 | 3 | 2022 |
Methods for enhancing the reproducibility of clinical epidemiology research in linked electronic health records: results and lessons learned from the CALIBER platform: IJPDS … S Denaxas, H Kunz, L Smeeth, A Gonzalez-Izquierdo, H Boutselakis, ... International Journal of Population Data Science 1 (1), 2017 | 3 | 2017 |