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Artificial Intelligence and Big Data Technologies in the Construction of Surgical Risk Prediction Model for Patients with Coronary Artery Bypass Grafting.
Tang, Xiaoqiang; Wang, Tao; Shi, Haifeng; Zhang, Ming; Yin, RuoHan; Wu, Qiyong; Pan, Changjie.
Affiliation
  • Tang X; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Wang T; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Shi H; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Zhang M; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Yin R; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Wu Q; Cardio Thoracic Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
  • Pan C; Radiology Department, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou 213164, Jiangsu, China.
Comput Intell Neurosci ; 2023: 9575553, 2023.
Article in En | MEDLINE | ID: mdl-37455771
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Heart Diseases Type of study: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Heart Diseases Type of study: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Intell Neurosci Journal subject: INFORMATICA MEDICA / NEUROLOGIA Year: 2023 Document type: Article Affiliation country: China Country of publication: United States