ELECTRONIC HEALTH RECORD ALGORITHMS TO DETECT PAD
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the American College of Cardiology"
DOI: 10.1016/s0735-1097(18)32577-4
Abstract: Patients with lower extremity peripheral artery disease (PAD) are difficult to accurately detect in administrative data because some relevant diagnosis codes are indiscriminate. As we use ‘big data’ to study diseases such as PAD, disease… read more here.
Keywords: record algorithms; cardiology; detect pad; electronic health ... See more keywords
Eye-tracker algorithms to detect saccades during static and dynamic tasks: a structured review.
Sign Up to like & getrecommendations! Published in 2019 at "Physiological measurement"
DOI: 10.1088/1361-6579/ab02ab
Abstract: OBJECTIVE Eye-tracking devices have become widely used as clinical assessment tools in a variety of applied-scientific fields to measure saccadic eye movements. With the emergence of multiple static and dynamic devices, the concurrent need for… read more here.
Keywords: eye tracker; tracker algorithms; static dynamic; algorithms detect ... See more keywords
Algorithms to Detect and Rectify Multiplicative and Ordinal Inconsistencies of Fuzzy Preference Relations
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2931536
Abstract: Consistency, multiplicative and ordinal, of fuzzy preference relations (FPRs) is investigated. The geometric consistency index (GCI) approximated thresholds are extended to measure the degree of consistency for an FPR. For inconsistent FPRs, two algorithms are… read more here.
Keywords: detect rectify; algorithms detect; preference relations; multiplicative ordinal ... See more keywords