Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Reuter, Anna ; Smolić, Šime ; Bärnighausen, Till ; Sudharsanan, Nikkil
Stichworte:
Research ; Missed care ; COVID-19 ; Prediction ; Machine learning ; Europe ; Medical and Health Sciences ; Mathematical Sciences ; Information and Computing Sciences