?url_ver=Z39.88-2004&rft_id=10.3390%2Fs22166195&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Ismail&rft.au=Ismail%2C+S.N.A.&rft.aufirst=S.N.A.&rft.issue=16&rft.volume=22&rft.issn=14248220&rft.atitle=Recent+Advances+in+Non-Invasive+Blood+Pressure+Monitoring+and+Prediction+Using+a+Machine+Learning+Approach&rft.title=Sensors&rft.date=2022&rft.genre=article