Closing the loop: automatically identifying abnormal imaging results in scanned documents
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac007
Abstract: OBJECTIVES Scanned documents (SDs), while common in electronic health records and potentially rich in clinically relevant information, rarely fit well with clinician workflow. Here, we identify scanned imaging reports requiring follow-up with high recall and… read more here.
Keywords: loop automatically; closing loop; identifying abnormal; scanned documents ... See more keywords
Identifying Abnormal Riding Behavior in Urban Rail Transit: A Survey on “In-Out” in the Same Subway Station
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3032843
Abstract: The large-scale data collected by automated fare collection (AFC) systems provide opportunities for researching both individual travelling behavior and mobility pattern in urban city. In existent researching files, AFC data focuses on detecting riders’ travel… read more here.
Keywords: subway; identifying abnormal; abnormal behaviors; subway station ... See more keywords