Sirds un asinsrites slimību mirstības riska prognoze nākamajam gadam no anonimizētiem Latvijas veselības aprūpes sistēmas datiem: XGBoost mašīnmācīšanās algoritma iespējamības pārbaude
DOI:
https://doi.org/10.22364/adz.59.09Keywords:
mašīnmācīšanās, mirstības riska prognoze, XGBoost, sabiedrības veselības dati, Latvija, sirds un asinsvadu slimību mirstības risksAbstract
Veselības politikas plānotājiem XGBoost algoritms varētu noderēt slimnīcu un citu veselības aprūpes iestāžu kapacitātes plānošanā un slodzes līdzsvarošanā.
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