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- 2024
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Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
- 2023
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Mark
A novel approach for brake emission estimation based on traffic microsimulation, vehicle system dynamics, and machine learning modeling
(
- Contribution to journal › Article
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
(
- Contribution to journal › Article
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Mark
Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
(
- Contribution to journal › Article
- 2022
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Mark
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
(
- Contribution to journal › Article
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Mark
The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
(
- Contribution to journal › Article
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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
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Mark
Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2020
-
Mark
Integration of machine learning with phase field method to model the electromigration induced Cu6Sn5 IMC growth at anode side Cu/Sn interface
(
- Contribution to journal › Article