Predicting no-show appointments in a pediatric hospital in Chile using machine learning.

The Chilean public health system serves 74% of the country's population, and 19% of medical appointments are missed on average because of no-shows. The national goal is 15%, which coincides with the average no-show rate reported in the private healthcare system. Our case study, Doctor Luis Calvo Mackenna Hospital, is a public high-complexity pediatric hospital and teaching center in Santiago, Chile.

Quantization test of the evolution trend of Paleocosta pervinquieri (Ostracode) during a 10-million year period (Djebel-Dyr section, Paleogene, Algeria).

Using a computerised technique that estimates differences or changes in the pattern defined by the distribution of 24 pore-canals of left valves of Paleocosta pervinquieri (Ostracode), we can speculate about the phylogenic evolution of the species ranging in age from Danian (66 My) to Ypresian (54 My) from the Djebel-Dyr section (North East of Algeria). This method is combined with traditional biometric and statistical studies and the analysis of architectural patterns of shells. Firstly, it reveals that Paleocosta pervinquieri is individualised in 6 morphs which evolve from the 'libyaenisis morph' to the 'mokkatamensis morph', between the P1 zone (66 My) to the P4 zone (56 My).