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 …
Development of supervised machine learning algorithms for prediction of satisfaction at 2 years following total shoulder arthroplasty
EM Polce, KN Kunze, MC Fu, GE Garrigues… - Journal of shoulder and …, 2021 - Elsevier
Background Patient satisfaction after primary anatomic and reverse total shoulder
arthroplasty (TSA) represents an important metric for gauging patients' perception of their …
arthroplasty (TSA) represents an important metric for gauging patients' perception of their …
Limitations in evaluating machine learning models for imbalanced binary outcome classification in spine surgery: a systematic review
Clinical prediction models for spine surgery applications are on the rise, with an increasing
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
Assessment of probable opioid use disorder using electronic health record documentation
SA Palumbo, KM Adamson, S Krishnamurthy… - JAMA network …, 2020 - jamanetwork.com
Importance Electronic health records are a potentially valuable source of information for
identifying patients with opioid use disorder (OUD). Objective To evaluate whether proxy …
identifying patients with opioid use disorder (OUD). Objective To evaluate whether proxy …
A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 …
ABSTRACT BACKGROUND CONTEXT Preoperative prediction of prolonged postoperative
opioid prescription helps identify patients for increased surveillance after surgery. The …
opioid prescription helps identify patients for increased surveillance after surgery. The …
Machine learning algorithms predict clinically significant improvements in satisfaction after hip arthroscopy
KN Kunze, EM Polce, J Rasio, SJ Nho - Arthroscopy: The Journal of …, 2021 - Elsevier
Purpose To develop machine learning algorithms to predict failure to achieve clinically
significant satisfaction after hip arthroscopy. Methods We queried a clinical repository for …
significant satisfaction after hip arthroscopy. Methods We queried a clinical repository for …
Development of prediction models for clinically meaningful improvement in PROMIS scores after lumbar decompression
AV Karhade, HA Fogel, TD Cha, SH Hershman… - The Spine Journal, 2021 - Elsevier
ABSTRACT BACKGROUND The ability to preoperatively predict which patients will achieve
a minimal clinically important difference (MCID) after lumbar spine decompression surgery …
a minimal clinically important difference (MCID) after lumbar spine decompression surgery …
[HTML][HTML] An ensemble learning approach to improving prediction of case duration for spine surgery: algorithm development and validation
Background Estimating surgical case duration accurately is an important operating room
efficiency metric. Current predictive techniques in spine surgery include less sophisticated …
efficiency metric. Current predictive techniques in spine surgery include less sophisticated …
Prediction of prolonged opioid use after surgery in adolescents: insights from machine learning
BACKGROUND: Long-term opioid use has negative health care consequences. Patients
who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk …
who undergo surgery are at risk for prolonged opioid use after surgery (POUS). While risk …
Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach
BACKGROUND: Persistent opioid use is a common occurrence after surgery and prolonged
exposure to opioids may result in escalation and dependence. The objective of this study …
exposure to opioids may result in escalation and dependence. The objective of this study …