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Support Vector Mach...
Support Vector Machine Diagnosis of Acute Abdominal Pain
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- Björnsdotter, Malin (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi,Institute of Neuroscience and Physiology,Institute of Neuroscience and Physiology, University of Gothenburg, Göteborg, Sweden
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- Nalin, Kajsa (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för tillämpad informationsteknologi (GU),Department of Applied Information Technology (GU),Centre of Interdisciplinary Research/Cognition/Information, University of Gothenburg, Göteborg, Sweden
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- Hansson, Lars-Erik (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper, Avdelningen för kirurgi,Institute of Clinical Sciences, Department of Surgery,Department of Surgery, Sahlgrenska University Hospital/Östra, Göteborg, Sweden
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- Malmgren, Helge, 1945 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för filosofi, lingvistik och vetenskapsteori,Department of Philosophy, Linguistics and Theory of Science,Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg, Göteborg, Sweden
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin/Heidelberg, 2010
- 2010
- Engelska.
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Ingår i: Communications in Computer and Information Science. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 1865-0929. ; 52:4, s. 347-355, s. 347-355
- Relaterad länk:
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http://www.worldcat....
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This study explores the feasibility of a decision-support system for patients seeking care for acute abdominal pain, and, specifically the diagnosis of acute diverticulitis. We used a linear support vector machine (SVM) to separate diverticulitis from all other reported cases of abdominal pain and from the important differential diagnosis non-specific abdominal pain (NSAP). On a database containing 3337 patients, the SVM obtained results comparable to those of the doctors in separating diverticulitis or NSAP from the remaining diseases. The distinction between diverticulitis and NSAP was, however, substantially improved by the SVM. For this patient group, the doctors achieved a sensitivity of 0.714 and a specificity of 0.963. When adjusted to the physicians’ results, the SVM sensitivity/specificity was higher at 0.714/0.985 and 0.786/0.963 respectively. Age was found as the most important discriminative variable, closely followed by C-reactive protein level and lower left side pain.
Ämnesord
- HUMANIORA -- Filosofi, etik och religion -- Filosofi (hsv//swe)
- HUMANITIES -- Philosophy, Ethics and Religion -- Philosophy (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Acute abdominal pain
- decision support
- support vector machines
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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