Reconstructability Analysis (RA) is a data mining method that searches for relations in data, especially non-linear and higher order relations. This study shows that RA can provide useful predictions of complications in knee replacement surgery
Background: There remains a lack of accurate and validated outcome-prediction models in total knee a...
ObjectivesThe aim was to develop and validate a simple clinical prediction model, based on easily co...
Objectives: To analyse predictors and outcomes of major orthopaedic surgery in a cohort of RA patien...
Reconstructability Analysis (RA) is a data mining method that searches for relations in data, especi...
Legislative reforms aimed at slowing growth of US healthcare costs are focused on achieving greater ...
Legislative reforms aimed at slowing growth of US healthcare costs are focused on achieving greater ...
Background Elective total knee replacement (TKR) is a safe and cost-effective surgical procedure for...
This paper reports the analysis of data on traumatic brain injury using a probabilistic graphical mo...
Background: Several factors are associated with an increased risk of anterior cruciate ligament (ACL...
Objectives: Accurate prediction of outcome following anterior cruciate ligament (ACL) reconstruction...
BACKGROUND: Predictive models could help clinicians identify risk factors that cause adverse events ...
Background Approximately 12–20% of those with osteoarthritis (OA) in Australia who undergo total kne...
Funding Targeted Rehabilitation to Improve Outcome after knee replacement (TRIO) was supported by Ar...
Tools that provide personalized risk prediction of the outcomes after surgical procedures help patie...
The Medical Quality Improvement Consortium data warehouse contains de-identified data on more than 3...
Background: There remains a lack of accurate and validated outcome-prediction models in total knee a...
ObjectivesThe aim was to develop and validate a simple clinical prediction model, based on easily co...
Objectives: To analyse predictors and outcomes of major orthopaedic surgery in a cohort of RA patien...
Reconstructability Analysis (RA) is a data mining method that searches for relations in data, especi...
Legislative reforms aimed at slowing growth of US healthcare costs are focused on achieving greater ...
Legislative reforms aimed at slowing growth of US healthcare costs are focused on achieving greater ...
Background Elective total knee replacement (TKR) is a safe and cost-effective surgical procedure for...
This paper reports the analysis of data on traumatic brain injury using a probabilistic graphical mo...
Background: Several factors are associated with an increased risk of anterior cruciate ligament (ACL...
Objectives: Accurate prediction of outcome following anterior cruciate ligament (ACL) reconstruction...
BACKGROUND: Predictive models could help clinicians identify risk factors that cause adverse events ...
Background Approximately 12–20% of those with osteoarthritis (OA) in Australia who undergo total kne...
Funding Targeted Rehabilitation to Improve Outcome after knee replacement (TRIO) was supported by Ar...
Tools that provide personalized risk prediction of the outcomes after surgical procedures help patie...
The Medical Quality Improvement Consortium data warehouse contains de-identified data on more than 3...
Background: There remains a lack of accurate and validated outcome-prediction models in total knee a...
ObjectivesThe aim was to develop and validate a simple clinical prediction model, based on easily co...
Objectives: To analyse predictors and outcomes of major orthopaedic surgery in a cohort of RA patien...
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