AIMC Topic: Patient Reported Outcome Measures
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Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.
The spine journal : official journal of the North American Spine Society
Nov 16, 2018
BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuabl...
Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms.
Journal of medical Internet research
Nov 12, 2018
BACKGROUND: An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor's skills, and bedside manners. Most previous work ...
Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups.
Urologic oncology
Sep 17, 2018
BACKGROUND: The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilisin...
Automated assessment of levodopa-induced dyskinesia: Evaluating the responsiveness of video-based features.
Parkinsonism & related disorders
May 5, 2018
INTRODUCTION: Technological solutions for quantifying Parkinson's disease (PD) symptoms may provide an objective means to track response to treatment, including side effects such as levodopa-induced dyskinesia. Vision-based systems are advantageous a...
Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort.
International journal of medical informatics
Aug 1, 2025
BACKGROUND: In light of global population aging and the increasing prevalence of Rheumatoid Arthritis (RA) with age, strategies are needed to address this public health challenge. Machine learning (ML) may play a vital role in early identification of...
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?
The Journal of arthroplasty
Jul 1, 2025
BACKGROUND: Obtaining total knee arthroplasty patient-reported outcomes for quality assessment is costly and difficult. We asked whether a large language model (LLM) could interpret electronic health record notes to differentiate patients attaining a...
Development of a patient reported outcomes based machine learning model to predict recurrences in head and neck cancer.
Oral oncology
Jun 1, 2025
INTRODUCTION: Recurrence rates among Head and Neck Cancer (HNC) patients are high, with earlier detection associated with improved survival. Patient-reported outcomes (PROs) have increasingly been found to predict patient care needs. Here, we examine...
Patient reported outcome measures: from the classics to AI.
The Journal of hand surgery, European volume
Jun 1, 2025
With its basis in the development of intelligence testing, classical test theory paved the way to develop patient-reported outcome measures - tools capable of quantifying otherwise immeasurable traits. In hand surgery, many of the popular outcome mea...
Machine Learning Models Predicting Hospital Admissions During Chemotherapy Utilising Longitudinal Symptom Severity Reports and Patient-Reported Outcome Measures.
Studies in health technology and informatics
May 15, 2025
Chemotherapy toxicity can lead to acute hospital admissions, negatively impacting the healthcare system and patients' well-being. Machine learning (ML) models identifying patients at risk of emergency admissions are often developed on data lacking pa...
Stakeholders' Perspectives on Medication Adherence Enhancing Interventions.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
May 1, 2025
With an approximately 50% prevalence rate, medication nonadherence is a significant healthcare challenge that increases the risk of potentially avoidable adverse events and associated costs ranging from $949 to $44 190 per person annually. The ISPOR ...
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