Notes and Further Reading Goodrich and Tamassia presented sophisticated techniques for solving recurrences in Chapter 11 of 'Algorithm Design and Applications'. Guzman & Limoanco conducted experiments on approx
A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark. Int J Cancer. 2015;136(9):2210-2215. doi:10.1002/ijc.29267 PubMedGoogle ScholarCrossref 31. Nors J, Mattesen TB, Cronin-Fenton D, et al. Identifying recurrences among non-...
Example patients with similar baseline clinical characteristics in the low-risk, intermediate-risk, and high-risk subtype groups.aCT andbPET scans.c,dare the fused 3D tumor volume oversegmented to superpixels and integrated by clustering using the Louvain algorithm to identify the habitat regions. Cr...
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes. - C-Plus-Plus/math/linear_recurrence_matrix.cpp at master · TheAlgorithms/C-Plus-Plus
(1981). Recurrence semigroups and their relation to data storage in fast recurrence solvers on parallel machines. In: Brauer, W., et al. Conpar 81. CONPAR 1981. Lecture Notes in Computer Science, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0105129 Download citation ...
A computer algorithm generated preliminary diagnoses that were verified by expert review (eMethods in the Supplement).6,15 Among participants who did not return for an in-person follow-up evaluation, dementia was ascertained from telephone cognitive assessments, informant interviews, or hospitalization ...
This theorem tells us a criterion for determining whether the rank is 2 or not although we may not be able to decide the rank exactly when we use a descent algorithm. In fact, using RankBounds command of Magma [2], we can see that the exact rank of E12553(Q) is not determined. In...
In the case of real-world data streams, the underlying data distribution will not be static; it is subject to variation over time, which is known as the primary reason for concept drift. Concept drift poses severe problems to the accuracy of a model in o
WMHs identification: The K-nearest neighbors (K-NN) algorithm, with a threshold of 0.8, identified WMHs. 6. Inverse deformation: This process mapped WMHs from DARTEL back to FLAIR space. 7. Manual correction: Manual correction was performed to exclude acute infarct lesions on FLAIR, referencing...
We used a validated algorithm to identify breast cancer recurrences that the DBCG registry had missed (eAppendix 2 in Supplement 1).30 Statistical Analysis Follow-up for breast cancer recurrence began 6 months after breast cancer surgery and continued until the first event of breast cancer ...