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- 2022
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Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- Contribution to journal › Article
- 2021
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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
-
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
- 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