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2020 – today
- 2024
[c2]Atiye Sadat Hashemi
, Mirfarid Musavian Ghazani, Mattias Ohlsson, Jonas Björk, Dominik Dietler:
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms. MIE 2024: 1916-1920- [i1]Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk:
A Masked language model for multi-source EHR trajectories contextual representation learning. CoRR abs/2402.06675 (2024) - 2023
- [j4]Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund:
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. BMC Medical Informatics Decis. Mak. 23(1): 25 (2023) - [c1]Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk:
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning. MIE 2023: 609-610
2000 – 2009
- 2009
- [j3]Michael Green, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson:
Exploring new possibilities for case-based explanation of artificial neural network ensembles. Neural Networks 22(1): 75-81 (2009) - 2006
- [j2]Michael Green, Jonas Björk, Jakob Lundager Forberg, Ulf Ekelund, Lars Edenbrandt, Mattias Ohlsson:
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room. Artif. Intell. Medicine 38(3): 305-318 (2006) - [j1]Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson, Lars Edenbrandt, Hans Öhlin, Ulf Ekelund:
A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department. BMC Medical Informatics Decis. Mak. 6: 28 (2006)
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