Publications

Peer-reviewed papers and preprints by Michael Green on neural networks, probabilistic programming, clinical decision support, and evolutionary dynamics.
Belcher, Lewis, Johan Gudmundsson, and Michael Green. 2022. Borch: A Deep Universal Probabilistic Programming Language. arXiv:2209.06168. arXiv. https://arxiv.org/abs/2209.06168.
Björk, Jonas, Michael Green, and Ulf Ekelund. 2008. “Comments on Practical Experiences on the Necessity of External Validation’ by I. R. König, J. D. Malley, C. Weimar, H.-C. Diener and A. Ziegler,Statistics in Medicine, DOI: 10.1002/Sim.3069.” Statistics in Medicine 27 (14): 2737–38. https://doi.org/10.1002/sim.3168.
Forberg, Jakob L, Ardavan Khoshnood, Michael Green, et al. 2012. “An Artificial Neural Network to Safely Reduce the Number of Ambulance ECGs Transmitted for Physician Assessment in a System with Prehospital Detection of ST Elevation Myocardial Infarction.” Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 20 (1): 8. https://doi.org/10.1186/1757-7241-20-8.
Green, Michael, Jonas Björk, Jakob Forberg, Ulf Ekelund, Lars Edenbrandt, and Mattias Ohlsson. 2006. “Comparison Between Neural Networks and Multiple Logistic Regression to Predict Acute Coronary Syndrome in the Emergency Room.” Artificial Intelligence in Medicine 38 (3): 305–18. https://doi.org/10.1016/j.artmed.2006.07.006.
Green, Michael, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Forberg, and Mattias Ohlsson. 2009. “Exploring New Possibilities for Case-Based Explanation of Artificial Neural Network Ensembles.” Neural Networks 22 (1): 75–81. https://doi.org/10.1016/j.neunet.2008.09.014.
Green, Michael, Mattias Ohlsson, Jakob Lundager Forberg, Jonas Björk, Lars Edenbrandt, and Ulf Ekelund. 2007. “Best Leads in the Standard Electrocardiogram for the Emergency Detection of Acute Coronary Syndrome.” Journal of Electrocardiology 40 (3): 251–56. https://doi.org/10.1016/j.jelectrocard.2006.12.011.
Green, M., and M. Ohlsson. 2007. “Comparison of Standard Resampling Methods for Performance Estimation of Artificial Neural Network Ensembles.” Proceedings of The Third International Conference on Computational Intelligence in Medicine and Healthcare.
Holmér, Jennie, and Michael Green. 2011. EVOLUTION OF PREY POLYMORPHISM INDUCED BY LEARNING PREDATORS.” Journal of Biological Systems 19 (02): 319–28. https://doi.org/10.1142/S0218339011003944.
Popov, Kyryl, Natasha Kamerlin, Johanna Åberg, et al. 2024. Identifying Novel CDK9 Inhibitors by Traditional Virtual Screening and AI-Based Approaches: Example of Hit Finding at Red Glead Discovery. Poster, DDC Europe 2024. https://drmike.xyz/publications/cdk9-inhibitors-ddc-europe-2024.pdf.