Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer

Oncotarget

Volumn 9, Issue 17, 2018, Pages 13768-13782

  Kuo, Pao Jen ^a   Wu, Shao Chun ^a   Chien, Peng Chen ^a   Chang, Shu Shya ^a   Rau, Cheng Shyuan ^a   Tai, Hsueh Ling ^a   Peng, Shu Hui ^a   Lin, Yi Chun ^a   Chen, Yi Chun ^a   Hsieh, Hsiao Yun ^a   Hsieh, Ching Hua ^a,b  

^a CHANG GUNG UNIVERSITY COLLEGE OF MEDICINE   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

Author keywords

Artificial neural network (ANN); Free flap reconstruction; Head and neck cancer; Logistic regression (LR); Surgical site infection (SSI)

Indexed keywords

ANTINEOPLASTIC AGENT;

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRIER SCORE; CANCER SURGERY; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; FREE TISSUE GRAFT; HEAD AND NECK CANCER; HUMAN; HUMAN CELL; HUMAN TISSUE; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MIDDLE AGED; POSTOPERATIVE PERIOD; PREDICTIVE VALUE; PREOPERATIVE PERIOD; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SURGICAL INFECTION;

EID: 85042731124     PISSN: None     EISSN: 19492553     Source Type: Journal    
DOI: 10.18632/oncotarget.24468     Document Type: Article

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