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1.
The Scottish Medical Imaging Archive: 57.3 Million Radiology Studies Linked to Their Medical Records.
Radiol Artif Intell
; 6(1): e220266, 2024 Jan.
Article
in English
| MEDLINE | ID: mdl-38166330
2.
Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities.
Heliyon
; 9(4): e15143, 2023 Apr.
Article
in English
| MEDLINE | ID: mdl-37123891
3.
Predicting Hypertension Subtypes with Machine Learning Using Targeted Metabolites and Their Ratios.
Metabolites
; 12(8)2022 Aug 16.
Article
in English
| MEDLINE | ID: mdl-36005627
4.
Whole blood methylome-derived features to discriminate endocrine hypertension.
Clin Epigenetics
; 14(1): 142, 2022 11 03.
Article
in English
| MEDLINE | ID: mdl-36329530
5.
Preanalytical Pitfalls in Untargeted Plasma Nuclear Magnetic Resonance Metabolomics of Endocrine Hypertension.
Metabolites
; 12(8)2022 Jul 24.
Article
in English
| MEDLINE | ID: mdl-35893246
6.
Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study.
EBioMedicine
; 84: 104276, 2022 Oct.
Article
in English
| MEDLINE | ID: mdl-36179553
7.
Using machine learning approaches for multi-omics data analysis: A review.
Biotechnol Adv
; 49: 107739, 2021.
Article
in English
| MEDLINE | ID: mdl-33794304
8.
Targeted Metabolomics as a Tool in Discriminating Endocrine From Primary Hypertension.
J Clin Endocrinol Metab
; 106(4): 1111-1128, 2021 03 25.
Article
in English
| MEDLINE | ID: mdl-33382876
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