title: Intelligent postoperative morbidity prediction of heart disease using artificial intelligence techniques.
abstract: Endovascular aneurysm repair (EVAR) is an advanced minimally invasive surgical technology that is helpful for reducing patients' recovery time, postoperative morbidity and mortality. This study proposes an ensemble model to predict postoperative morbidity after EVAR. The ensemble model was developed using a training set of consecutive patients who underwent EVAR between 2000 and 2009. All data required for prediction modeling, including patient demographics, preoperative, co-morbidities, and complication as outcome variables, was collected prospectively and entered into a clinical database. A discretization approach was used to categorize numerical values into informative feature space. Then, the Bayesian network (BN), artificial neural network (ANN), and support vector machine (SVM) were adopted as base models, and stacking combined multiple models. The research outcomes consisted of an ensemble model to predict postoperative morbidity after EVAR, the occurrence of postoperative complications prospectively recorded, and the causal effect knowledge by BNs with Markov blanket concept.
authors.affiliation: Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan. nchsieh@ntunhs.edu.tw
authors.forename: Nan-Chen
authors.initials: NC
authors.lastname: Hsieh
authors.forename: Lun-Ping
authors.initials: LP
authors.lastname: Hung
authors.forename: Chun-Che
authors.initials: CC
authors.lastname: Shih
authors.forename: Huan-Chao
authors.initials: HC
authors.lastname: Keh
authors.forename: Chien-Hui
authors.initials: CH
authors.lastname: Chan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000783:Aneurysm / Q000601:surgery; D001185:Artificial Intelligence; D002648:Child; D002675:Child, Preschool; D057510:Endovascular Procedures; D005260:Female; D005544:Forecasting; D006331:Heart Diseases / Q000601:surgery*; D006801:Humans; D007223:Infant; D008297:Male; D008875:Middle Aged; D011183:Postoperative Complications / Q000209:etiology*; D018511:Systems Integration; D055815:Young Adult