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- 2024
-
Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
-
Mark
The skåne emergency medicine (SEM) cohort
(
- Contribution to journal › Article
-
Mark
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
(
- Contribution to journal › Article
-
Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
- 2023
-
Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
-
Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
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
(
- Contribution to journal › Article
-
Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
(
- Contribution to journal › Article
-
Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
2023) European Emergency Medicine Congress 2023(
- Contribution to conference › Poster
- 2022
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
-
Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- Contribution to journal › Article
- 2021
-
Mark
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
(
- Contribution to journal › Article
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
-
Mark
Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
2021) In medRxiv(
- Working paper/Preprint › Preprint in preprint archive
- 2020
-
Mark
Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
(
- Contribution to journal › Article
- 2019
-
Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
(
- Contribution to journal › Article
-
Mark
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance
(
- Contribution to journal › Article
- 2018
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
-
Mark
Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
2018) 38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 37(4 Suppl). p.171-172(
- Contribution to journal › Published meeting abstract
- 2017
-
Mark
Tumor tissue protein signatures reflect histological grade of breast cancer
2017) In PLoS ONE(
- Contribution to journal › Article
-
Mark
Influence of Structurally Based HLA Mismatching on Long-Term Graft Loss in Adult Heart Transplant Recipients
2017) 37th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In The Journal of Heart and Lung Transplantation 36(4 Suppl). p.204-204(
- Contribution to journal › Published meeting abstract
- 2015
-
Mark
The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.
(
- Contribution to journal › Article
-
Mark
Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease
(
- Contribution to journal › Article
-
Mark
ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients.
(
- Contribution to journal › Article
-
Mark
Analysis of the Influence of HLA-A Matching Relative to HLA-B and -DR Matching on Heart Transplant Outcomes
(
- Contribution to journal › Article
-
Mark
Prediction of Primary Graft Dysfunction After Heart Transplantation
2015) 35th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 34(4). p.35-35(
- Contribution to journal › Published meeting abstract
- 2013
-
Mark
CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation.
(
- Contribution to journal › Article
-
Mark
Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index
(
- Contribution to journal › Article
- 2012
-
Mark
An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction
(
- Contribution to journal › Article
-
Mark
ABO Blood Type Matching and Survival after Heart Transplantation: Analyze of the ISHLT Registry : Journal of Heart and Lung Transplantation
2012) 32nd Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 31(4, Suppl). p.136-136(
- Contribution to journal › Published meeting abstract
-
Mark
Influence of HLA Matching on Heart Transplant Outcomes
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2011
-
Mark
Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks.
(
- Contribution to journal › Article
-
Mark
Electrocardiograms of men and women with suspected acute coronary syndrome in the ED
(
- Contribution to conference › Abstract
- 2010
-
Mark
Artificial Neural Networks - A Method for Optimal. Donor-Recipient Matching. Large Scale Simulation of Survival after Heart Transplantation
2010) 30th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In Journal of Heart and Lung Transplantation 29(2 Suppl. 1). p.29-29(
- Contribution to journal › Published meeting abstract
- 2009
-
Mark
Virtual Cross-Matching in Heart Transplantation : Large Scale Simulation of Survival after Heart Transplantation Using Artificial Neural Networks
2009) 29th Annual Meeting and Scientific Session of the International-Society-for-Heart-and-Lung-Transplantation In Journal of Heart and Lung Transplantation 28(2). p.231-232(
- Contribution to journal › Published meeting abstract
- 2006
-
Mark
Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.
(
- Contribution to journal › Article
- 2001
-
Mark
An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks
(
- Contribution to journal › Article
-
Mark
Using hidden Markov models to characterize disease trajectories
2001) p.324-326(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 1993
-
Mark
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem
(
- Contribution to journal › Article