Surgical process modelling: a review
Purpose Surgery is continuously subject to technological and medical innovations that are
transforming daily surgical routines. In order to gain a better understanding and description …
transforming daily surgical routines. In order to gain a better understanding and description …
Machine learning techniques to examine large patient databases
G Meyfroidt, F Güiza, J Ramon… - Best Practice & Research …, 2009 - Elsevier
Computerization in healthcare in general, and in the operating room (OR) and intensive care
unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific …
unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific …
Application of machine learned Bayesian networks to detection of anomalies in complex systems
JS Eberhardt III, TA Radano, BE Peterson - US Patent 9,349,103, 2016 - Google Patents
According to one embodiment, in response to a set of data for anomaly detection, a
Bayesian belief network (BBN) model is applied to the data set, including for each of a …
Bayesian belief network (BBN) model is applied to the data set, including for each of a …
Comparison of in-hospital mortality risk prediction models from COVID-19
AA El-Solh, Y Lawson, M Carter, DA El-Solh… - PloS one, 2020 - journals.plos.org
Objective Our objective is to compare the predictive accuracy of four recently established
outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) …
outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) …
Development of a clinical decision model for thyroid nodules
A Stojadinovic, GE Peoples, SK Libutti, LR Henry… - BMC surgery, 2009 - Springer
Background Thyroid nodules represent a common problem brought to medical attention.
Four to seven percent of the United States adult population (10–18 million people) has a …
Four to seven percent of the United States adult population (10–18 million people) has a …
Evaluation of the national surgical quality improvement program universal surgical risk calculator for a gynecologic oncology service
JB Szender, PJ Frederick, KH Eng, SN Akers… - International Journal of …, 2015 - ijgc.bmj.com
Objectives The National Surgical Quality Improvement Program is aimed at preventing
perioperative complications. An online calculator was recently published, but the primary …
perioperative complications. An online calculator was recently published, but the primary …
Development and validation of a predictive scoring system for in-hospital mortality in COVID-19 egyptian patients: a retrospective study
SARS-CoV-2 virus has rapidly spread worldwide since December 2019, causing COVID-19
disease. In-hospital mortality is a common indicator for evaluating treatment outcomes …
disease. In-hospital mortality is a common indicator for evaluating treatment outcomes …
Risk scores do not predict high mortality after coronary artery bypass surgery in the presence of diastolic dysfunction
L Merello, E Riesle, J Alburquerque, H Torres… - The Annals of thoracic …, 2008 - Elsevier
BACKGROUND: Although global postoperative mortality after on-pump coronary artery
bypass grafting is approximately 3%, in some groups it can be considerably higher. Many …
bypass grafting is approximately 3%, in some groups it can be considerably higher. Many …
A molecular computational model improves the preoperative diagnosis of thyroid nodules
S Tomei, I Marchetti, K Zavaglia, F Lessi, A Apollo… - BMC cancer, 2012 - Springer
Background Thyroid nodules with indeterminate cytological features on fine needle
aspiration (FNA) cytology have a 20% risk of thyroid cancer. The aim of the current study …
aspiration (FNA) cytology have a 20% risk of thyroid cancer. The aim of the current study …
Quantifying prognosis with risk predictions
NL Pace, LHJ Eberhart, PR Kranke - European Journal of …, 2012 - journals.lww.com
Prognosis is a forecast, based on present observations in a patient, of their probable
outcome from disease, surgery and so on. Research methods for the development of risk …
outcome from disease, surgery and so on. Research methods for the development of risk …