Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.
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Auditing medical records accesses via healthcare interaction networksDetecting Anomalous Insiders in Collaborative Information Systems.Detecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering.Using Visual Analytics to Determine the Utilization of Preoperative Anesthesia Assessments.
P2860
Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.
description
2011 nî lūn-bûn
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2011年の論文
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2011年論文
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2011年論文
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2011年論文
@zh-hk
2011年論文
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2011年論文
@zh-tw
2011年论文
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2011年论文
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2011年论文
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name
Anomaly and signature filterin ...... of suspicious access to EHRs.
@en
Anomaly and signature filterin ...... of suspicious access to EHRs.
@nl
type
label
Anomaly and signature filterin ...... of suspicious access to EHRs.
@en
Anomaly and signature filterin ...... of suspicious access to EHRs.
@nl
prefLabel
Anomaly and signature filterin ...... of suspicious access to EHRs.
@en
Anomaly and signature filterin ...... of suspicious access to EHRs.
@nl
P2093
P2860
P1476
Anomaly and signature filterin ...... of suspicious access to EHRs.
@en
P2093
Aziz A Boxwala
Bhakti A Patel
Debra Mikels
Janice M Grillo
Jihoon Kim
Rose B Mandelbaum
Staal A Vinterbo
Xiaoqian Jiang
P2860
P304
P577
2011-10-22T00:00:00Z