A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran.

Hamed TavolinejadShahin RoshaniNegar RezaeiErfan GhasemiMoein YoosefiNazila RezaeiAzin GhamariSarvenaz ShahinSina Azadnajafabad Mohammad-Reza MalekpourMohammad-Mahdi RashidiFarshad Farzadfar

Published in: PloS one (2022)

Hypertension care was mostly missing the treatment and control stages. The random forest model identified features associated with receiving care, indicating opportunities to improve effective coverage.

Keyphrases

affordable care act
healthcare
palliative care
machine learning
blood pressure
quality improvement
pain management
health insurance
climate change
cross sectional
artificial intelligence
deep learning