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 the ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

Chaotic hash functions represent a cutting‐edge convergence between nonlinear dynamics and cryptographic science. These functions employ chaotic maps—mathematical systems that exhibit extreme ...

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 ...

WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in patients ...

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 ...

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

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...