Alex H. S. Harris

Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?

2019 · 140 Zit. · Clinical Orthopaedics and Related Research

Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?

2020 · 65 Zit. · The Journal of Arthroplasty

Path From Predictive Analytics to Improved Patient Outcomes

2016 · 37 Zit. · Annals of Surgery

Tutorial: implementing and visualizing machine learning (ML) clinical prediction models into web-accessible calculators using Shiny R

2022 · 9 Zit. · Annals of Translational Medicine

Can a Large Language Model Interpret Data in the Electronic Health Record to Infer Minimum Clinically Important Difference Achievement of Knee Osteoarthritis Outcome Score–Joint Replacement Score Following Total Knee Arthroplasty?

2025 · 4 Zit. · The Journal of Arthroplasty

Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives From Urologists

2024 · 2 Zit. · Urology

Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward

2025 · 1 Zit. · Urology Practice

Urologist Attitudes towards Risk Prediction Tools, Electronic Health Records, and Surgical Clinical Decision Support.

2020 · 0 Zit. · AMIA

Clinical Decision Support for Surgery: A Mixed Methods Study on Design and Implementation Perspectives from Urologists

2025 · 0 Zit. · UNC Libraries