3 years ago I was fortunate enough to create an illustration for an article in the European Journal of Cardio-thoracic surgery 😊

Abstract

Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel feature detection and engineering machine-learning framework is presented to address this need. First, the Rip Curl process is applied which generates a set of 10 additional features. Second, we rank all features including the Rip Curl features from which the top-ranked will most likely contain the most informative features for prediction of the underlying biological classes. The top-ranked features are used in model building. This process creates for more expressive features which are captured in models with an eye towards the model learning from increasing sample amount and the accuracy/time results. The performance of the proposed Rip Curl classification framework was tested on omentum cancer data. Rip Curl outperformed other more sophisticated classification methods in terms of prediction accuracy, minimum number of classification markers, and computational time.

Read More About This Article: https://juniperpublishers.com/ctbeb/CTBEB.MS.ID.555559.php

noun

ANATOMY plural noun:

omenta

  area of of doubtful value

after the the same thing in view

difficult to draw

and drew it out

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Chef´s Choice – Cypriot Recipes – Sheftalia / seftali kebab

Cypriot Recipes Sheftalia / şeftali kebabı

Sheftalia (Turkish: şeftali kebabı) is a traditional Cypriot food. It is a type of sausage without skin, that uses caul fat, or omentum, the membrane that surrounds the stomach of pig or lamb, to wrap the ingredients rather than sausage casing.

. Ingredients

1/2 kg minced pork or lamb shoulder or leg

4 onions, finely chopped

2 slices dry white bread…