Results: We propose a novel trie- based algorithm for this k-mer counting problem.

Incidence of omphalitis was defined under three sign- based algorithms, with increasing severity.

In experimental measurements, the GP- based algorithm achieves significantly lower errors than previous algorithms.

In addition, Ki-67 index was automatically evaluated with a software- based algorithm.

A novel lightweight, deep learning- based algorithm was designed to segment subretinal bleb boundaries.

Deep learning- based algorithm can aid screening of intussusception using abdominal radiography in young children.

Infant evaluation and follow up was decided by allocation to an evidence based algorithm.

But then a new similarity- based algorithm burst onto the scene, sweeping all before it.

Conclusions: This review and analysis has provided an evidence- based algorithm for the management of GBPs.

Quantitative trading strategies use computer- based algorithms to determine when to buy and sell an asset.

Participants were classified as having uncontrolled asthma based on a treatment and symptom guideline- based algorithm.

We show qualitatively and quantitatively that the physiologically based algorithm outperforms two classical segmentation techniques.

We propose a new genomically based algorithm for directing patients with osteosarcoma to clinical trial options.

With a diagnosis code- based algorithm we identified all procedural encounters made by patients with spina bifida.

Conclusions: Centroid- based algorithms are robust classifiers for breast cancer subtype assignment across platforms and procurement conditions.

The electronic SBO pathway pulls real-time data from the electronic health record to prepopulate the evidence- based algorithm.