Research output per year
Research output per year
Personal profile
Research
My research focuses on machine learning and applications within
medicine and biology. I use in particular neural networks, both
shallow and deep models. Current applications include:
- Biomarker discovery, using proteomic data, for various cancer diseases, with a special focus on early detection.
- Survival analysis in cardiac transplantation and how to optimize the match between donors and recipients.
- Decision support for medical images e.g. whole body bone scintigraphy for prostate cancer patients.
UKÄ subject classification
- Bioinformatics (Computational Biology)
- Cancer and Oncology
- Bioinformatics and Systems Biology
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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A machine learning model for prediction of 30-day primary graft failure after heart transplantation
Linse, B., Ohlsson, M., Stehlik, J., Lund, L. H., Andersson, B. & Nilsson, J., 2023 Mar, In: Heliyon. 9, 3, e14282.Research output: Contribution to journal › Article › peer-review
Open Access -
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
Amirahmadi, A., Ohlsson, M., Etminani, K., Melander, O. & Björk, J., 2023, Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. Hagglund, M., Blusi, M., Bonacina, S., Nilsson, L., Madsen, I. C., Pelayo, S., Moen, A., Benis, A., Lindskold, L. & Gallos, P. (eds.). IOS Press, p. 609-610 2 p. (Studies in Health Technology and Informatics; vol. 302).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access -
Deep learning prediction models based on EHR trajectories: A systematic review
Amirahmadi, A., Ohlsson, M. & Etminani, K., 2023 Aug, In: Journal of biomedical informatics. 144, 104430.Research output: Contribution to journal › Review article › peer-review
Open Access -
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
Tolestam Heyman, E., Ashfaq, A., Ekelund, U., Ohlsson, M., Björk, J., Khoshnood, A. M. & Lingman, M., 2023 Sept.Research output: Contribution to conference › Poster
Open AccessFile -
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
Tolestam Heyman, E., Ashfaq, A., Ekelund, U., Ohlsson, M., Björk, J., Dahlén Holmqvist, L., Khoshnood, A. M. & Lingman, M., 2023 May 31.Research output: Contribution to conference › Poster
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Prediction of lymph node metastasis in primary breast cancer
Hjärtström, M., Ryden, L., Ohlsson, M., Dihge, L. & Staaf, J.
2021/09/01 → …
Project: Dissertation
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Resource Management in the Emergency Department by using Machine Learning
Tolestam Heyman, E., Khoshnood, A., Ekelund, U., Björk, J., Ohlsson, M., Lingman, M. & Dahlén Holmqvist, L.
2021/02/01 → …
Project: Dissertation
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PREPARE: Improved preparedness for future pandemics and other health crises through large-scale disease surveillance
Björk, J., Inghammar, M., Litins'ka, Y., Forsell, M., Ohlsson, M., Lingman, M., Wigren Byström, J., Almgren, M., Kahn, F., Rasmussen, M., Malmqvist, U., Mitchell, A., Neumann, A., Dietler, D., Bennet, L., Bonander, C., Eriksson, T., Björkelund, A., Vilhelmsson, A., Nilsson, A. & Wetterberg, H.
2021/01/01 → 2025/12/31
Project: Research
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Image and multi-omics machine learning analyses in breast cancer
Roostee, S. J., Staaf, J., Aine, M. & Ohlsson, M.
2020/10/01 → …
Project: Dissertation
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Machine learning in emergency care
Nyström, A., Ekelund, U., Björk, J., Ohlsson, M. & Lundager Forberg, J.
2020/09/01 → 2024/09/01
Project: Dissertation
Activities
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Resource management in the emergency department by using machine learning
Ellen Tolestam Heyman (Presenter), Ardavan Khoshnood (Contributor), Ulf Ekelund (Contributor), Jonas Björk (Contributor), Mattias Ohlsson (Contributor), Markus Lingman (Contributor) & Lina Dahlén Holmqvist (Contributor)
2021 Nov 2Activity: Talk or presentation › Presentation
File -
LUCC - AI and Cancer Seminar: "Big Data in Oncology"
Mats Jerkeman (Organiser), Ravi Parikh (Invited speaker), Robert Miller (Invited speaker), Lisa Ryden (Speaker), Mattias Ohlsson (Invited speaker), Per Munck Af Rosenschöld (Speaker), Mats Jerkeman (Chair) & Sophia Zackrisson (Organiser)
2021 Feb 18Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course
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Resource management in the emergency department by using machine learning
Ardavan Khoshnood (First/primary/lead supervisor), Ulf Ekelund (Second supervisor), Mattias Ohlsson (Joint second supervisor), Jonas Björk (Joint second supervisor) & Markus Lingman (Joint second supervisor)
2021 Feb 1 → …Activity: Examination and supervision › Supervision of PhD students
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Improved triage, diagnosis and prognosis at the emergency department by using machine learning on big health care data
Jonas Björk (First/primary/lead supervisor), Ulf Ekelund (Joint second supervisor), Jakob Lundager Forberg (Joint second supervisor) & Mattias Ohlsson (Joint second supervisor)
2021 → …Activity: Examination and supervision › Supervision of PhD students
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Framtidsveckan. Vetenskapsvecka 12-18 okt Lunds universitet
Jonas Wisbrant (Host), Kalle Åström (Chair), Paul Franks (Invited speaker), Stefan Larsson (Contributor), Elena Pagnin (Invited speaker), Helena Linge (Invited speaker), Johan Linåker (Invited speaker), Jonas Ledendal (Invited speaker), Mattias Ohlsson (Invited speaker) & Johan Wester (Chair)
2020 Oct 12Activity: Participating in or organising an event › Participation in workshop/ seminar/ course
Prizes and Distinction
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Grant
Tolestam Heyman, Ellen (Recipient), Khoshnood, Ardavan (Recipient), Ekelund, Ulf (Recipient), Björk, Jonas (Recipient), Ohlsson, Mattias (Recipient), Lingman, Markus (Recipient) & Dahlén Holmqvist, Lina (Recipient), 2022 Dec 1
Prize: Other distinction
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Grant
Tolestam Heyman, Ellen (Recipient), Khoshnood, Ardavan (Recipient), Björk, Jonas (Recipient), Ekelund, Ulf (Recipient), Ohlsson, Mattias (Recipient), Lingman, Markus (Recipient) & Dahlén Holmqvist, Lina (Recipient), 2022 Oct 19
Prize: Other distinction
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Grant
Tolestam Heyman, Ellen (Recipient), Khoshnood, Ardavan (Recipient), Lingman, Markus (Recipient), Ekelund, Ulf (Recipient), Björk, Jonas (Recipient), Ohlsson, Mattias (Recipient) & Dahlén Holmqvist, Lina (Recipient), 2022 Mar 31
Prize: Other distinction
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Grant
Tolestam Heyman, Ellen (Recipient), Khoshnood, Ardavan (Recipient), Lingman, Markus (Recipient), Ekelund, Ulf (Recipient), Björk, Jonas (Recipient), Ohlsson, Mattias (Recipient) & Dahlén Holmqvist, Lina (Recipient), 2021 Dec 6
Prize: Other distinction
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Grant
Tolestam Heyman, Ellen (Recipient), Khoshnood, Ardavan (Recipient), Lingman, Markus (Recipient), Ekelund, Ulf (Recipient), Björk, Jonas (Recipient), Ohlsson, Mattias (Recipient) & Dahlén Holmqvist, Lina (Recipient), 2021 Oct 21
Prize: Other distinction