Literature DB >> 22683917

Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification.

Stan Matwin, Vera Sazonova.   

Abstract

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Year:  2012        PMID： 22683917      PMCID： PMC3422847          DOI： 10.1136/amiajnl-2012-001072

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN： 1067-5027            Impact factor:   4.497


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  4 in total

1.  Performance of support-vector-machine-based classification on 15 systematic review topics evaluated with the WSS@95 measure.

Authors:  Aaron M Cohen
Journal:  J Am Med Inform Assoc       Date:  2011 Jan-Feb       Impact factor: 4.497

2.  Optimizing feature representation for automated systematic review work prioritization.

Authors:  Aaron M Cohen
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

3.  A new algorithm for reducing the workload of experts in performing systematic reviews.

Authors:  Stan Matwin; Alexandre Kouznetsov; Diana Inkpen; Oana Frunza; Peter O'Blenis
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

4.  Exploiting the systematic review protocol for classification of medical abstracts.

Authors:  Oana Frunza; Diana Inkpen; Stan Matwin; William Klement; Peter O'Blenis
Journal:  Artif Intell Med       Date:  2010-11-16       Impact factor: 5.326
  4 in total
  5 in total

Review 1.  Using text mining for study identification in systematic reviews: a systematic review of current approaches.

Authors:  Alison O'Mara-Eves; James Thomas; John McNaught; Makoto Miwa; Sophia Ananiadou
Journal:  Syst Rev       Date:  2015-01-14

2.  Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring System.

Authors:  Alexandra König; Carlos Fernando Crispim-Junior; Alvaro Gomez Uria Covella; Francois Bremond; Alexandre Derreumaux; Gregory Bensadoun; Renaud David; Frans Verhey; Pauline Aalten; Philippe Robert
Journal:  Front Aging Neurosci       Date:  2015-06-02       Impact factor: 5.750

3.  Identification of risk genes associated with myocardial infarction based on the recursive feature elimination algorithm and support vector machine classifier.

Authors:  Xiaoqiang Yang
Journal:  Mol Med Rep       Date:  2017-11-14       Impact factor: 2.952

4.  Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses.

Authors:  Yajuan Du; Enfa Zhao; Yushun Zhang
Journal:  Biosci Rep       Date:  2020-07-31       Impact factor: 3.840

5.  Identification of Feature Autophagy-Related Genes and DNA Methylation Profiles in Systemic Lupus Erythematosus Patients.

Authors:  Bo Gao
Journal:  Med Sci Monit       Date:  2021-12-20
  5 in total

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