Cargando…

人工神经网络在肺癌相关研究中的应用现状

Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. Te development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, various kinds of information required by precision med...

Descripción completa

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 中国肺癌杂志编辑部 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500498/
https://www.ncbi.nlm.nih.gov/pubmed/31014444
http://dx.doi.org/10.3779/j.issn.1009-3419.2019.04.08
_version_ 1783415957586182144
collection PubMed
description Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. Te development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, various kinds of information required by precision medicine (such as biometrics, clinical test indicators and non-biological environmental background information) are difcult for clinicians to integrate and utilize e?ectively. With the development of computer technology, artifcial neural networks (ANNs), which has the characteristic of high fault tolerance, intelligence and self-learning ability. Its powerful information integration ability can solve many problems in the development and application of precision medicine, which can play a key role in basic research and clinical practice associated with lung cancer. Tis article reviewed the application of artifcial neural network in the feld of lung cancer.
format Online
Article
Text
id pubmed-6500498
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher 中国肺癌杂志编辑部
record_format MEDLINE/PubMed
spelling pubmed-65004982019-05-21 人工神经网络在肺癌相关研究中的应用现状 Zhongguo Fei Ai Za Zhi 综述 Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. Te development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, various kinds of information required by precision medicine (such as biometrics, clinical test indicators and non-biological environmental background information) are difcult for clinicians to integrate and utilize e?ectively. With the development of computer technology, artifcial neural networks (ANNs), which has the characteristic of high fault tolerance, intelligence and self-learning ability. Its powerful information integration ability can solve many problems in the development and application of precision medicine, which can play a key role in basic research and clinical practice associated with lung cancer. Tis article reviewed the application of artifcial neural network in the feld of lung cancer. 中国肺癌杂志编辑部 2019-04-20 /pmc/articles/PMC6500498/ /pubmed/31014444 http://dx.doi.org/10.3779/j.issn.1009-3419.2019.04.08 Text en 版权所有©《中国肺癌杂志》编辑部2019 https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) License. See: https://creativecommons.org/licenses/by/3.0/
spellingShingle 综述
人工神经网络在肺癌相关研究中的应用现状
title 人工神经网络在肺癌相关研究中的应用现状
title_full 人工神经网络在肺癌相关研究中的应用现状
title_fullStr 人工神经网络在肺癌相关研究中的应用现状
title_full_unstemmed 人工神经网络在肺癌相关研究中的应用现状
title_short 人工神经网络在肺癌相关研究中的应用现状
title_sort 人工神经网络在肺癌相关研究中的应用现状
topic 综述
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500498/
https://www.ncbi.nlm.nih.gov/pubmed/31014444
http://dx.doi.org/10.3779/j.issn.1009-3419.2019.04.08
work_keys_str_mv AT réngōngshénjīngwǎngluòzàifèiáixiāngguānyánjiūzhōngdeyīngyòngxiànzhuàng
AT réngōngshénjīngwǎngluòzàifèiáixiāngguānyánjiūzhōngdeyīngyòngxiànzhuàng