A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Objectives The objective of this study was to compare performance of logistic regression
(LR) with machine learning (ML) for clinical prediction modeling in the literature. Study …
(LR) with machine learning (ML) for clinical prediction modeling in the literature. Study …
Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …
Although of high complexity for a human being, it is essential to determine the patterns and …
The 5-item modified frailty index is predictive of severe adverse events in patients undergoing surgery for adult spinal deformity
Study Design. A retrospective review of 281 consecutive cases of adult spine deformity
(ASD) surgery (age 55±19 yrs, 91% female, follow-up 4.3±1.9 yrs) from a multicenter …
(ASD) surgery (age 55±19 yrs, 91% female, follow-up 4.3±1.9 yrs) from a multicenter …
Chronic preoperative opioid use is a risk factor for increased complications, resource use, and costs after cervical fusion
Abstract Background Context As health-care transitions to value-based models, there has
been an increased focus on patient factors that can influence peri-and postoperative …
been an increased focus on patient factors that can influence peri-and postoperative …
Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool
OBJECTIVE The ability to assess the risk of adverse events based on known patient factors
and comorbidities would provide more effective preoperative risk stratification. Present risk …
and comorbidities would provide more effective preoperative risk stratification. Present risk …
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national …
OBJECTIVE Nonhome discharge and unplanned readmissions represent important cost
drivers following spinal fusion. The authors sought to utilize different machine learning …
drivers following spinal fusion. The authors sought to utilize different machine learning …
[HTML][HTML] A machine learning approach for predictive models of adverse events following spine surgery
BACKGROUND Rates of adverse events following spine surgery vary widely by patient-,
diagnosis-, and procedure-related factors. It is critical to understand the expected rates of …
diagnosis-, and procedure-related factors. It is critical to understand the expected rates of …
Impact of frailty and comorbidities on surgical outcomes and complications in adult spinal disorders
Study Design. Retrospective review of surgically treated 481 adult patients with spinal
disorders. Objective. The aim of this study was to elucidate the effect of frailty and …
disorders. Objective. The aim of this study was to elucidate the effect of frailty and …
Prediction models in degenerative spine surgery: a systematic review
Study Design: Systematic review. Objectives: To review the existing literature of prediction
models in degenerative spinal surgery. Methods: Review of PubMed/Medline and Embase …
models in degenerative spinal surgery. Methods: Review of PubMed/Medline and Embase …
The path from big data analytics capabilities to value in hospitals: a sco** review
PY Brossard, E Minvielle, C Sicotte - BMC Health Services Research, 2022 - Springer
Background As the uptake of health information technologies increased, most healthcare
organizations have become producers of big data. A growing number of hospitals are …
organizations have become producers of big data. A growing number of hospitals are …