The proposed return-to-activity algorithm was easy applicable and helpful to control the different rehabilitation phases. On the basis of such a procedure, individual recommendations are decoupled ...

Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by ...

As the onset of cancer recurrence is not explicitly recorded in the electronic health record (EHR), a high volume of manual chart review is required to detect the cancer recurrence. This study aims to ...

This paper describes an algorithm for maximising a conditional likelihood function when the corresponding unconditional likelihood function is more easily maximised. The algorithm is similar to the EM ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges.

A simple recursive algorithm is provided for evaluation the noncentral chi-squared distribution function. This algorithm basically reduces the problem to that of evaluating a single central ...

M4N asks: Is there a reason why functions in most (?) programming languages are designed to support any number of input parameters but only one return value? In most languages, it is possible to ...

Purdue professor, several international researchers develop algorithm to predict recurrence of prostate cancer.