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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...

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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
Descripción
Sumario: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.