Jonas Kalderstam
Jonas Kalderstam
Computational Biology and Biological Physics, Lund University, Sweden
Verifierad e-postadress på thep.lu.se - Startsida
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Training artificial neural networks directly on the concordance index for censored data using genetic algorithms
J Kalderstam, P Edén, PO Bendahl, C Strand, M Fernö, M Ohlsson
Artificial intelligence in medicine 58 (2), 125-132, 2013
272013
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer
J Kalderstam, M Sadik, L Edenbrandt, M Ohlsson
BMC medical imaging 14 (1), 24, 2014
102014
lifelines. py, v0. 11.1
C Davidson-Pilon, J Kalderstam, B Kuhn
Zenodo doi 10, 2017
72017
CamDavidsonPilon/lifelines
C Davidson-Pilon, J Kalderstam, B Kuhn
June, 2017
52017
Neural Network Approaches To Survival Analysis
J Kalderstam
Department of Astronomy and Theoretical Physics, Lund University, 2015
32015
Finding risk groups by optimizing artificial neural networks on the area under the survival curve using genetic algorithms
J Kalderstam, P Eden, M Ohlsson
PloS one 10 (9), 2015
32015
lifelines: survival analysis in Python
C Davidson-Pilon
Journal of Open Source Software 4 (40), 1317, 2019
12019
Ensembles of genetically trained artificial neural networks for survival analysis
J Kalderstam, P Edén, M Ohlsson
Proceedings 21st European Symposium on Artificial Neural Networks …, 2013
2013
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Artiklar 1–8