Literature DB >> 27226927

Multivariate Conditional Outlier Detection and Its Clinical Application.

Charmgil Hong1, Milos Hauskrecht1.   

Abstract

This paper overviews and discusses our recent work on a multivariate conditional outlier detection framework for clinical applications.

Entities:  

Year:  2016        PMID： 27226927      PMCID： PMC4877029     

Source DB:  PubMed          Journal:  Proc Conf AAAI Artif Intell        ISSN： 2159-5399


  5 in total

1.  A Mixtures-of-Trees Framework for Multi-Label Classification.

Authors:  Charmgil Hong; Iyad Batal; Milos Hauskrecht
Journal:  Proc ACM Int Conf Inf Knowl Manag       Date:  2014

2.  A Generalized Mixture Framework for Multi-label Classification.

Authors:  Charmgil Hong; Iyad Batal; Milos Hauskrecht
Journal:  Proc SIAM Int Conf Data Min       Date:  2015

3.  Evidence-based anomaly detection in clinical domains.

Authors:  Milos Hauskrecht; Michal Valko; Branislav Kveton; Shyam Visweswaran; Gregory F Cooper
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

Review 4.  A new, evidence-based estimate of patient harms associated with hospital care.

Authors:  John T James
Journal:  J Patient Saf       Date:  2013-09       Impact factor: 2.844

5.  Outlier detection for patient monitoring and alerting.

Authors:  Milos Hauskrecht; Iyad Batal; Michal Valko; Shyam Visweswaran; Gregory F Cooper; Gilles Clermont
Journal:  J Biomed Inform       Date:  2012-08-27       Impact factor: 6.317
  5 in total
  2 in total

1.  K-means clustering of overweight and obese population using quantile-transformed metabolic data.

Authors:  Li Li; Qifa Song; Xi Yang
Journal:  Diabetes Metab Syndr Obes       Date:  2019-08-23       Impact factor: 3.168

2.  Big data analytics for preventive medicine.

Authors:  Muhammad Imran Razzak; Muhammad Imran; Guandong Xu
Journal:  Neural Comput Appl       Date:  2019-03-16       Impact factor: 5.102
  2 in total

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