Mattias Ohlsson

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2024
Mark How does an AI diagnose dyspnoea in ED triage without human guidance?
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2024) Swedish Emergency Medicine Talks - SWEETS24
- Contribution to conference › Poster
Mark Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
Nyström, Axel ^LU ; Olsson de Capretz, Pontus ^LU ; Björkelund, Anders ^LU ; Lundager Forberg, Jakob ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU and Ekelund, Ulf ^LU (2024) In Journal of Electrocardiology 82. p.42-51
- Contribution to journal › Article
Mark The skåne emergency medicine (SEM) cohort
Ekelund, Ulf ^LU ; Ohlsson, Bodil ^LU ; Melander, Olle ^LU ; Björk, Jonas ^LU ; Ohlsson, Mattias ^LU ; Forberg, Jakob Lundager ^LU ; de Capretz, Pontus Olsson ^LU ; Nyström, Axel ^LU and Björkelund, Anders ^LU (2024) In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 32. p.1-8
- Contribution to journal › Article
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)
Skarping, Ida ^LU ; Ellbrant, Julia ^LU ; Dihge, Looket ^LU ; Ohlsson, Mattias ^LU ; Huss, Linnea ^LU ; Bendahl, Pär Ola ^LU and Rydén, Lisa ^LU (2024) In BMC Cancer 24(1).
- Contribution to journal › Article
Mark The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
Alabdallah, Abdallah ; Ohlsson, Mattias ^LU ; Pashami, Sepideh and Rögnvaldsson, Thorsteinn (2024) In Artificial Intelligence in Medicine 148.
- Contribution to journal › Article
Mark Human bias and CNNs’ superior insights in satellite based poverty mapping
Sarmadi, Hamid ; Wahab, Ibrahim ^LU ; Hall, Ola ^LU ; Rögnvaldsson, Thorsteinn and Ohlsson, Mattias ^LU (2024) In Scientific Reports 14.
- Contribution to journal › Article
Mark Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms
Hashemi, Atiye Sadat ^LU ; Ghazani, Mirfarid Musavian ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU and Dietler, Dominik ^LU (2024) 34th Medical Informatics Europe Conference, MIE 2024 In Studies in Health Technology and Informatics 316. p.1916-1920
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2023
Mark Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Sarmadi, Hamid ; Rognvaldsson, Thorsteinn ; Carlsson, Nils Roger ^LU ; Ohlsson, Mattias ^LU ; Wahab, Ibrahim ^LU and Hall, Ola ^LU (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
Mark Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2023) European Emergency Medicine Congress 2023
- Contribution to conference › Poster
Mark Deep learning prediction models based on EHR trajectories : A systematic review
Amirahmadi, Ali ; Ohlsson, Mattias ^LU and Etminani, Kobra (2023) In Journal of biomedical informatics 144.
- Contribution to journal › Scientific review

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