Mattias Ohlsson
- Computational Biology and Biological Physics - Has been reorganised
- Department of Astronomy and Theoretical Physics - Has been reorganised
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- eSSENCE: The e-Science Collaboration
- Faculty Office
- LU Profile Area: Natural and Artificial Cognition
- Centre for Environmental and Climate Science (CEC)
- Computational Science for Health and Environment
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- 2024
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Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
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Mark
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
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- Contribution to journal › Article
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Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
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Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
- 2023
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Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
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- Contribution to journal › Article
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Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
2023) 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Deep learning prediction models based on EHR trajectories : A systematic review
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- Contribution to journal › Scientific review
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Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
2023) 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 In Studies in Health Technology and Informatics 302. p.609-610(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
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Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
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- Contribution to journal › Article