-
Je něco špatně v tomto záznamu ?
Neural networks in relation to machine learning and artificial intelligence in bioinformatics
Blaise Arles
Jazyk angličtina Země Česko
- MeSH
- lidé MeSH
- neuronové sítě MeSH
- strojové učení MeSH
- umělá inteligence * MeSH
- výpočetní biologie MeSH
- Check Tag
- lidé MeSH
The utilization of prescient quality marks to help clinical choice is turning out to be increasingly significant. Profound learning has a gigantic potential in the expectation of aggregate from quality articulation profiles. Nonetheless, neural organizations are seen as secret elements, where precise forecasts are given with no clarification. The necessities for these models to become interpretable are expanding, particularly in the clinical field.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc21006605
- 003
- CZ-PrNML
- 005
- 20231229142728.0
- 007
- cr|cn|
- 008
- 210307s2020 xr fs 000 0|eng||
- 009
- eAR
- 024 7_
- $a 10.24105/ejbi.2020.16.3.5 $2 doi
- 040 __
- $a ABA008 $d ABA008 $e AACR2 $b cze
- 041 0_
- $a eng
- 044 __
- $a xr
- 100 1_
- $a Arles, Blaise $u Department of Bioinformatics, IBISC University, France
- 245 10
- $a Neural networks in relation to machine learning and artificial intelligence in bioinformatics / $c Blaise Arles
- 520 9_
- $a The utilization of prescient quality marks to help clinical choice is turning out to be increasingly significant. Profound learning has a gigantic potential in the expectation of aggregate from quality articulation profiles. Nonetheless, neural organizations are seen as secret elements, where precise forecasts are given with no clarification. The necessities for these models to become interpretable are expanding, particularly in the clinical field.
- 650 17
- $a umělá inteligence $7 D001185 $2 czmesh
- 650 _7
- $a neuronové sítě $7 D016571 $2 czmesh
- 650 _7
- $a strojové učení $7 D000069550 $2 czmesh
- 650 _7
- $a výpočetní biologie $7 D019295 $2 czmesh
- 650 _7
- $a lidé $7 D006801 $2 czmesh
- 773 0_
- $t European journal for biomedical informatics $x 1801-5603 $g Roč. 16, č. 2 (2020), s. 33 $w MED00173462
- 856 41
- $u http://www.ejbi.org/ $y domovská stránka časopisu - plný text volně přístupný
- 910 __
- $a ABA008 $b online $y p $z 0
- 990 __
- $a 20210307134440 $b ABA008
- 991 __
- $a 20231229142705 $b ABA008
- 999 __
- $a ok $b bmc $g 1628696 $s 1126941
- BAS __
- $a 3 $a 4
- BMC __
- $a 2020 $b 16 $c 2 $d 33 $i 1801-5603 $m European Journal for Biomedical Informatics $n Eur. J. Biomed. Inform. (Praha) $x MED00173462
- LZP __
- $c NLK183 $d 20231229 $a NLK 2021-11/dk