1 – 20 of 39
- show: 20
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
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
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
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
- 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
(
- 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
-
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
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
- 2022
-
Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- Contribution to journal › Article
-
Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- 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
Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
2021) In medRxiv(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
- 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
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
-
Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
- 2017
-
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