Your browser doesn't support javascript.
loading
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.
Wu, Ruiyang; Luo, Jing; Wan, Hangyu; Zhang, Haiyan; Yuan, Yewei; Hu, Huihua; Feng, Jinyan; Wen, Jing; Wang, Yan; Li, Junyan; Liang, Qi; Gan, Fengjiao; Zhang, Gang.
Affiliation
  • Wu R; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Luo J; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Wan H; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Zhang H; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Yuan Y; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Hu H; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Feng J; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Wen J; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Wang Y; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Li J; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Liang Q; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Gan F; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
  • Zhang G; Department of Breast and Thyroid Surgery, Sichuan Provincial Hospital for Women and Children (Affiliated Women and Children's Hospital of Chengdu Medical College), Chengdu, China.
PLoS One ; 18(1): e0280340, 2023.
Article in En | MEDLINE | ID: mdl-36701415
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Breast Neoplasms / Machine Learning Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: China Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Breast Neoplasms / Machine Learning Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Female / Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: China Country of publication: Estados Unidos