Mattias Ohlsson
- Computational Biology and Biological Physics - Undergoing reorganization
- Department of Astronomy and Theoretical Physics - Undergoing reorganization
- 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)
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- 2023
-
Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
de Capretz, Pontus Olsson LU ; Björkelund, Anders LU ; Björk, Jonas LU ; Ohlsson, Mattias LU
; Mokhtari, Arash
LU
; Nyström, Axel
LU
and Ekelund, Ulf
LU
(2023)
In BMC Medical Informatics and Decision Making
23(1).
- Contribution to journal › Article
-
Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Dahlén Holmqvist, Lina
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2023)
Swedish Emergency Medicine Talks - SWEETS23
- Contribution to conference › Poster
-
Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
Linse, Björn LU ; Ohlsson, Mattias LU
; Stehlik, Joseph
; Lund, Lars H.
; Andersson, Bodil
LU
and Nilsson, Johan
LU
(2023)
In Heliyon
9(3).
- Contribution to journal › Article
- 2022
-
Mark
The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
Skarping, Ida LU
; Dihge, Looket
LU
; Bendahl, Pär Ola
LU
; Huss, Linnea
LU
; Ellbrant, Julia
LU
; Ohlsson, Mattias
LU
and Rydén, Lisa
LU
(2022)
In Diagnostics
12(3).
- Contribution to journal › Article
-
Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
Pomares-Millan, Hugo LU
; Poveda, Alaitz
LU
; Atabaki Pasdar, Naeimeh
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
; Giordano, Nick
LU
and Franks, Paul
LU
(2022)
In Nutrients
14(15).
p.1-13
- Contribution to journal › Article
-
Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
André, Lars ; Björkelund, Anders LU ; Ekelund, Ulf LU
; Vedin, Tomas
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
and Lundager Forberg, Jakob
LU
(2022)
Swedish Emergency Medicine Talks 2022
- Contribution to conference › Poster
-
Mark
Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
Haziri, Donika ; Björkelund, Anders LU ; Ekelund, Ulf LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
and Lundager Forberg, Jakob
LU
(2022)
Swedish Emergency Medicine Talks 2022
- Contribution to conference › Poster
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
Skarping, Ida LU
; Nilsson, Kristoffer
; Dihge, Looket
LU
; Fridhammar, Adam
; Ohlsson, Mattias
LU
; Huss, Linnea
LU
; Bendahl, Pär Ola
LU
; Steen Carlsson, Katarina
LU
and Rydén, Lisa
LU
(2022)
In Breast Cancer Research and Treatment
194(3).
p.577-586
- Contribution to journal › Article
-
Mark
Deterministic annealing with Potts neurons for multi-robot routing
David, Jennifer ; Rögnvaldsson, Thorsteinn ; Söderberg, Bo LU and Ohlsson, Mattias LU
(2022)
In Intelligent Service Robotics
15(3).
p.321-334
- Contribution to journal › Article
-
Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
- Contribution to journal › Scientific review