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Q30460721-70593E7C-4A6A-4F1E-84F6-C99A5A4F52EC
Q30460721-70593E7C-4A6A-4F1E-84F6-C99A5A4F52EC
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http://www.wikidata.org/entity/statement/Q30460721-70593E7C-4A6A-4F1E-84F6-C99A5A4F52EC
Application of classification models to pharyngeal high-resolution manometry.
P2860
Q30460721-70593E7C-4A6A-4F1E-84F6-C99A5A4F52EC
BestRank
Statement
http://www.wikidata.org/entity/statement/Q30460721-70593E7C-4A6A-4F1E-84F6-C99A5A4F52EC
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9b4e947debaa15ef13c0c935a6e1f81b496a8d87
P2860
Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data.