Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- statistics
- predictive modelling
- perioperative medicine
- cardiac surgery
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Dive into the research topics where Linda Lapp is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Decision support in cardiac surgery: early exploration of requirements with cardiac anesthetists and surgeons
Lapp, L., Bouamrane, M-M., Roper, M., Kavanagh, K. & Schraag, S., 22 Aug 2024, Digital Health and Informatics Innovations for Sustainable Health Care Systems: Proceedings of MIE 2024. Mantas, J., Hasman, A., Demiris, G., Saranto, K., Marschollek, M., Arvanitis, T. N., Ognjanović, I., Benis, A., Gallos, P., Zoulias, E. & Andrikopoulou, E. (eds.). Amsterdam: IOS Press, Vol. 316. p. 1827-1831 5 p. (Studies in Health Technology and Informatics; vol. 316).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile -
Development and validation of a digital biomarker predicting acute kidney injury following cardiac surgery on an hourly basis
Lapp, L., Roper, M., Kavanagh, K. & Schraag, S., 31 Dec 2023, In: JTCVS Open. 16, p. 540-581 42 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile29 Downloads (Pure)
Datasets
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Data for: "Defining and Classifying Postoperative Complications Following Cardiac Surgery: a Delphi Study Thematic Analysis"
Lapp, L. (Creator) & Roper, M. (Supervisor), University of Strathclyde, 27 Sept 2022
DOI: 10.15129/fa6c4bc4-98dc-48cd-a568-d89c8a52dd10
Dataset
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Code for: "Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery"
Lapp, L. (Creator) & Roper, M. (Supervisor), University of Strathclyde, 14 Jun 2022
DOI: 10.15129/9da23147-6be9-46f1-95be-6681ed2cc7e0, https://aime19.aimedicine.info/
Dataset
Thesis
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Developing predictive models for postoperative complications in cardiac patients
Author: Lapp, L., 18 May 2018Student thesis: Master's Thesis
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Development of prediction models for postoperative complications following cardiac surgery
Author: Lapp, L., 12 Jan 2023Supervisor: Roper, M. (Supervisor) & Kavanagh, K. (Supervisor)
Student thesis: Doctoral Thesis