An improved methodology for outlier detection in dynamic datasets

Xu, Shujie; Bâldea, Michael; Edgar, Thomas F.; Wojsznis, Willy; Blevins, Terry; Nixon, Mark

doi:10.1002/aic.14631

Cited by 15 publications

(12 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The highly skewed right-sided tail is composed of statistically significant "outliers" identified using Tukey one-sided test (p = 0.0001). Further analyzing outliers creates an opportunity to identify variations affecting performance that might benefit from a change in the workflow [28][29][30][31]. Outliers were independently identified for 2 key phases of the approval process: (1) administrative review by staff; and (2) IRB committee review (see below).…”

Section: Time Required For Irb Approvalmentioning

confidence: 99%

Systems approach to assessing and improving local human research Institutional Review Board performance

Fontanesi

Magit

Ford

et al. 2018

J. Clin. Trans. Sci.

View full text Add to dashboard Cite

ObjectiveTo quantifying the interdependency within the regulatory environment governing human subject research, including Institutional Review Boards (IRBs), federally mandated Medicare coverage analysis and contract negotiations.MethodsOver 8000 IRB, coverage analysis and contract applications initiated between 2013 and 2016 were analyzed using traditional and machine learning analytics for a quality improvement effort to improve the time required to authorize the start of human research studies.ResultsStaffing ratios, study characteristics such as the number of arms, source of funding and number and type of ancillary reviews significantly influenced the timelines. Using key variables, a predictive algorithm identified outliers for a workflow distinct from the standard process. Improved communication between regulatory units, integration of common functions, and education outreach improved the regulatory approval process.ConclusionsUnderstanding and improving the interdependencies between IRB, coverage analysis and contract negotiation offices requires a systems approach and might benefit from predictive analytics.

show abstract

Section: Time Required For Irb Approvalmentioning

confidence: 99%

Systems approach to assessing and improving local human research Institutional Review Board performance

Fontanesi

Magit

Ford

et al. 2018

J. Clin. Trans. Sci.

View full text Add to dashboard Cite

show abstract

“…where p s is the solution of L( , X) − L( , X|Y) = , and C β s is the MILC mentioned in Equation (11). By using Taylor series expansion, the equation L( , X) − L( , X|Y) = can be expressed approximately as follows:…”

Section: Binary Symmetric Matrixmentioning

confidence: 99%

“…To some degree, probabilistic events attract different interests according to their probability. For example, considering that small probability events hidden in massive data contain more semantic importance [9][10][11][12][13], people usually pay more attention to the rare events (rather than the common events) and design the corresponding strategies of their information representation and processing in many applications including outliers detection in the Internet of Things (IoT), smart cities and autonomous driving [14][15][16][17][18][19][20][21][22]. Therefore, the probabilistic events processing has special values in the information technology based on semantics analysis of message importance.…”

Section: Introductionmentioning

confidence: 99%

Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure

Sheng

Liu

Fan

2019

Entropy

View full text Add to dashboard Cite

Different probabilities of events attract different attention in many scenarios such as anomaly detection and security systems. To characterize the events’ importance from a probabilistic perspective, the message importance measure (MIM) is proposed as a kind of semantics analysis tool. Similar to Shannon entropy, the MIM has its special function in information representation, in which the parameter of MIM plays a vital role. Actually, the parameter dominates the properties of MIM, based on which the MIM has three work regions where this measure can be used flexibly for different goals. When the parameter is positive but not large enough, the MIM not only provides a new viewpoint for information processing but also has some similarities with Shannon entropy in the information compression and transmission. In this regard, this paper first constructs a system model with message importance measure and proposes the message importance loss to enrich the information processing strategies. Moreover, the message importance loss capacity is proposed to measure the information importance harvest in a transmission. Furthermore, the message importance distortion function is discussed to give an upper bound of information compression based on the MIM. Additionally, the bitrate transmission constrained by the message importance loss is investigated to broaden the scope for Shannon information theory.

show abstract

“…The second step is to filter the observed signal. The standard discrete Kalman filter algorithm is summarized as follows [22,23]…”

Section: Dynamic Filtering Algorithmmentioning

confidence: 99%

Research on Dynamic Inertial Estimation Technology for Deck Deformation of Large Ships

Ren

2019

Sensors

View full text Add to dashboard Cite

Many kinds of weapon systems and launching equipment on the deck of large ships are easily affected by deck deformation. In order to ensure the accuracy of weapon systems and the safety of taking off and landing of carrier aircraft, a dynamic estimation method combining the main inertial navigation systems (INS) and the sub-inertial navigation systems (SINS) is designed to estimate the curvature and torsion of any trajectory on the deck. Our contributions start from the fact that the area of concern extends from the fixed points to any trajectory on the deck. The dynamic filter algorithm of wavelet combined with Kalman filter is used to process the acquired data. The wavelet method is used to remove the outliers in the acquired data, and the Kalman filter effectively reduces the influence of white noise, so that the estimation accuracy is guaranteed. The simulation results clearly show that the deck deformation of large ships can be obtained accurately in real-time over the observed area which proved that this dynamic inertial measurement method is feasible in practical engineering application.

show abstract

An improved methodology for outlier detection in dynamic datasets

Cited by 15 publications

References 55 publications

Systems approach to assessing and improving local human research Institutional Review Board performance

Systems approach to assessing and improving local human research Institutional Review Board performance

Attention to the Variation of Probabilistic Events: Information Processing with Message Importance Measure

Research on Dynamic Inertial Estimation Technology for Deck Deformation of Large Ships

Contact Info

Product

Resources

About