A new hybrid intelligent system for accurate detection of Parkinson's disease

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Comput. Methods Programs Biomed.

• Publication date

  2014-03-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.cmpb.2014.01.004PMID 24485390
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2011influential reference
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  2011influential reference
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  2010influential reference
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  2010cited by this paper
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  2002influential reference
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  2001cited by this paper
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  2000influential reference
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  2000cited by this paper
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  1998cited by this paper
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  1996cited by this paper
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  1995influential reference
• Intensive voice treatment in Parkinson disease: laryngostroboscopic findings.

  1995cited by this paper
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  1991cited by this paper
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  1990cited by this paper
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  1984cited by this paper
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