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- 2020
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Mark
Utilizing Deep Learning and RDF to Predict Heart Transplantation Survival
2020) 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12012 LNCS. p.175-190(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Expression of fibroblast activation protein and the clinicopathological relevance in distal cholangiocarcinoma
(
- Contribution to journal › Article
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Mark
A risk score model to predict incidental gallbladder cancer in patients scheduled for cholecystectomy
(
- Contribution to journal › Article
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Mark
Akademiskt hushållsarbete. Kan vi hjälpas åt att synliggöra det?
2020)(
- Book/Report › Report
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Mark
ICD Therapy Confers No Survival Advantage in a Global LVAD Population: Insights from the Trans-Atlantic Registry on VAD and Transplant (TRAViATA)
(
- Contribution to journal › Published meeting abstract
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Mark
Randomized trial of a left ventricular assist device as destination therapy versus guideline-directed medical therapy in patients with advanced heart failure. Rationale and design of the SWEdish evaluation of left Ventricular Assist Device (SweVAD) trial
(
- Contribution to journal › Article
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Mark
Artificiell intelligens viktigt i framtiden för transplantationer
2020) In Dialäsen(
- Contribution to specialist publication or newspaper › Specialist publication article
- 2019
-
Mark
Native aortic versus mitral valve infective endocarditis : A nationwide registry study
(
- Contribution to journal › Article
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Mark
Continuous-flow LVADs in the Nordic countries : complications and mortality and its predictors
(
- Contribution to journal › Article
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Mark
Impact of gender on echocardiographic characteristics in heart transplant recipients
(
- Contribution to journal › Article