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Search results (10)

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External validation of the COLOFIT colorectal cancer risk prediction model in the Oxford-FIT dataset: the importance of population characteristics and clinically relevant evaluation metrics

Tamm A. et al, (2025), BMC Medicine, 23

Supporting cancer research on real-world data: extracting colorectal cancer status and explicitly written TNM stages from free-text imaging and histopathology reports

Tamm A. et al, (2025), BMJ Health Care Informatics, 32

Improving the understanding of cancer and cancer care by applying data science and machine learning methods to electronic patient records

Tamm A., (2025)

COLOFIT: Development and internal-external validation of models using age, sex, faecal immunochemical and blood tests to optimise diagnosis of colorectal cancer in symptomatic patients

Crooks CJ. et al, (2024)

BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data.

Virdee PS. et al, (2023), Diagn Progn Res, 7

Combining faecal immunochemical testing with blood test results for colorectal cancer risk stratification: a consecutive cohort of 16,604 patients presenting to primary care

Withrow DR. et al, (2022), BMC Medicine, 20

Establishing a colorectal cancer research database from routinely collected health data: the process and potential from a pilot study

Tamm A. et al, (2022), BMJ Health and Care Informatics, 29

Similar neural networks respond to coherence during comprehension and production of discourse

Morales M. et al, (2021)

Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding

Asyraff A. et al, (2021), NEUROIMAGE, 236

Barking up the right tree: Univariate and multivariate fMRI analyses of homonym comprehension

Hoffman P. and Tamm A., (2020), NEUROIMAGE, 219