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Artificial neural n...
Artificial neural networks in pancreatic disease.
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- Bartosch-Härlid, Anna (författare)
- Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Biologiska institutionen,Naturvetenskapliga fakulteten,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Department of Biology,Faculty of Science
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- Andersson, Bodil (författare)
- Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Aho, Ursula (författare)
- Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Nilsson, J (författare)
- Lund University,Lunds universitet,Thoraxkirurgi,Sektion II,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Thoracic Surgery,Section II,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Andersson, Roland (författare)
- Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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(creator_code:org_t)
- 2008-06-12
- 2008
- Engelska.
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Ingår i: British Journal of Surgery. - : Oxford University Press (OUP). - 1365-2168 .- 0007-1323. ; 95:7, s. 817-826
- Relaterad länk:
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http://www.ncbi.nlm....
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- BACKGROUND: An artificial neural network (ANNs) is a non-linear pattern recognition technique that is rapidly gaining in popularity in medical decision-making. This study investigated the use of ANNs for diagnostic and prognostic purposes in pancreatic disease, especially acute pancreatitis and pancreatic cancer. METHODS: PubMed was searched for articles on the use of ANNs in pancreatic diseases using the MeSH terms 'neural networks (computer)', 'pancreatic neoplasms', 'pancreatitis' and 'pancreatic diseases'. A systematic review of the articles was performed. RESULTS: Eleven articles were identified, published between 1993 and 2007. The situations that lend themselves best to analysis by ANNs are complex multifactorial relationships, medical decisions when a second opinion is needed and when automated interpretation is required, for example in a situation of an inadequate number of experts. CONCLUSION: Conventional linear models have limitations in terms of diagnosis and prediction of outcome in acute pancreatitis and pancreatic cancer. Management of these disorders can be improved by applying ANNs to existing clinical parameters and newly established gene expression profiles.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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