Methods for training an artificial neural network to predict whether a subject will exhibit a characteristic gene expression and systems for executing the same
Provided herein are method of prediction of potential health risk, and particularly to a method for training artificial neural networks using biological analysis data. The method of present disclosure is characterized in the combined use of biological analysis and deep learning; in which the specifi...
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creator | WANG, JIAING HSU, YIIUNG SUNG, CHUNG-YANG |
description | Provided herein are method of prediction of potential health risk, and particularly to a method for training artificial neural networks using biological analysis data. The method of present disclosure is characterized in the combined use of biological analysis and deep learning; in which the specific clinical data relating to the characteristic gene expression is used to train the artificial neural network to improve the accuracy of the prediction power of the artificial neural network. |
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The method of present disclosure is characterized in the combined use of biological analysis and deep learning; in which the specific clinical data relating to the characteristic gene expression is used to train the artificial neural network to improve the accuracy of the prediction power of the artificial neural network.</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201111&DB=EPODOC&CC=TW&NR=I709904B$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201111&DB=EPODOC&CC=TW&NR=I709904B$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG, JIAING</creatorcontrib><creatorcontrib>HSU, YIIUNG</creatorcontrib><creatorcontrib>SUNG, CHUNG-YANG</creatorcontrib><title>Methods for training an artificial neural network to predict whether a subject will exhibit a characteristic gene expression and systems for executing the same</title><description>Provided herein are method of prediction of potential health risk, and particularly to a method for training artificial neural networks using biological analysis data. 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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Methods for training an artificial neural network to predict whether a subject will exhibit a characteristic gene expression and systems for executing the same |
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