Artificial Intelligence in CardioThoracic Sciences (AICTS)
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- 2011
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Mark
Negative-pressure wound therapy following cardiac surgery: bleeding complications and 30-days mortality in 176 patients with deep sternal wound infection.
(
- Contribution to journal › Article
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Mark
Electrocardiograms of men and women with suspected acute coronary syndrome in the ED
(
- Contribution to conference › Abstract
- 2010
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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
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Mark
Artificiella neurala nätverk underlättar svåra medicinska beslut. Exempel från pankreatologin.
(
- Contribution to journal › Article
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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
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Mark
Heart Transplantation with Non-Identical Compatible ABO Blood-Groups : Impact on Early Rejection and Long-Term Survival
2009) 29th Annual Meeting and Scientific Session of the International-Society-for-Heart-and-Lung-Transplantation In The Journal of Heart and Lung Transplantation 28(2). p.194-194(
- Contribution to journal › Published meeting abstract
- 2008
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Mark
Vacuum-assisted closure therapy for deep sternal wound infections: the impact of learning curve on survival and predictors for late mortality.
(
- Contribution to journal › Article
- 2007
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Mark
Riskbedömning för gastrointestinal komplikation efter hjärtkirurgi
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- Contribution to journal › Published meeting abstract
- 2001
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Mark
An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks
(
- Contribution to journal › Article
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Mark
Using hidden Markov models to characterize disease trajectories
2001) p.324-326(
- Chapter in Book/Report/Conference proceeding › Book chapter