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- 2024
-
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
-
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 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
- 2023
-
Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
Amirahmadi, Ali ; Ohlsson, Mattias LU
; Etminani, Kobra
; Melander, Olle
LU
and Björk, Jonas
LU
(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
-
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
-
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
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
-
Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
Dihge, Looket LU ; Bendahl, Pär Ola LU ; Skarping, Ida LU
; Hjärtström, Malin
LU
; Ohlsson, Mattias
LU
and Rydén, Lisa
LU
(2023)
In Frontiers in Oncology
13.
- Contribution to journal › Article