AIMC Topic: Patient Reported Outcome Measures

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Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Sep 26, 2021
BACKGROUND: Messages from an Internet forum are raw material that emerges in a natural setting (i.e., non-induced by a research situation).
Machine Learning Inflammatory Bowel Diseases Internet Humans Patient Reported Outcome Measures
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"Looking Under the Hood" of Anchor-Based Assessment of Clinically Important Change: A Machine Learning Approach.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research May 18, 2021
OBJECTIVES: The Global Assessment of Change (GAC) item has facilitated the interpretation of change in patient-reported outcomes, providing an anchor for computing minimally important differences. Construct validity has been documented via disease-sp...
Surveys and Questionnaires Cognition Chronic Disease Sociodemographic Factors Female Male Middle Aged Patient Reported Outcome Measures Caregivers Change Management Humans Machine Learning
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Comparison of Patient-reported Health-related Quality of Life Between Open Radical Cystectomy and Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Interim Analysis of a Randomised Controlled Trial.

European urology focus Mar 10, 2021
BACKGROUND: Open radical cystectomy (ORC) is still considered the reference approach for RC, although robot-assisted RC (RARC) has recently gained in popularity. There are literature reports on perioperative and oncologic outcomes of RARC, but functi...
Robotics Patient Reported Outcome Measures Cystectomy Urinary Bladder Quality of Life Treatment Outcome Urinary Bladder Neoplasms Urinary Diversion Humans Postoperative Complications
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Exploring Associations of Preoperative Physical Performance With Postoperative Outcomes After Lumbar Spinal Fusion: A Machine Learning Approach.

Archives of physical medicine and rehabilitation Mar 9, 2021
OBJECTIVE: To explore the association between preoperative physical performance with short- and long-term postoperative outcomes in patients undergoing lumbar spinal fusion (LSF).
Female Risk Factors Aged Male Humans Machine Learning Retrospective Studies Spinal Fusion Lumbar Vertebrae Physical Functional Performance Patient Reported Outcome Measures Postoperative Period Preoperative Period Recovery of Function Predictive Value of Tests Disability Evaluation Middle Aged Pain, Postoperative Length of Stay Cohort Studies
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Robotics Versus Navigation Versus Conventional Total Hip Arthroplasty: Does the Use of Technology Yield Superior Outcomes?

The Journal of arthroplasty Mar 5, 2021
BACKGROUND: The use of technology such as navigation and robotic systems may improve the accuracy of component positioning in total hip arthroplasty (THA), but its impact on patient-reported outcome measures (PROMs) remains unclear. This study aims t...
Retrospective Studies Treatment Outcome Humans Robotics Patient Reported Outcome Measures Arthroplasty, Replacement, Hip
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Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 16, 2021
OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate...
Laryngoscopy Laryngoplasty Glottis Patient Reported Outcome Measures Video Recording Vocal Cord Paralysis Female Humans Male Artificial Intelligence Middle Aged Software Injections
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Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.

JAMA network open Feb 1, 2021
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using...
Humans Artificial Intelligence Decision Support Techniques Female Aged Aged, 80 and over Male Middle Aged Decision Making, Shared Patient Reported Outcome Measures Risk Assessment Patient Satisfaction Patient Education as Topic Osteoarthritis, Knee Arthroplasty, Replacement, Knee Patient Health Questionnaire
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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Jan 16, 2021
PURPOSE: To (1) develop and validate a machine learning algorithm to predict clinically significant functional improvements after hip arthroscopy for femoroacetabular impingement syndrome and to (2) develop a digital application capable of providing ...
Patient Reported Outcome Measures Calibration Humans Arthroscopy Male Algorithms Female Hip Joint Cohort Studies Retrospective Studies Risk Factors Recovery of Function ROC Curve Young Adult Supervised Machine Learning Treatment Outcome Adult Activities of Daily Living
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Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach.

Journal of medical Internet research Nov 11, 2020
BACKGROUND: SymptomGuide Dementia (DGI Clinical Inc) is a publicly available online symptom tracking tool to support caregivers of persons living with dementia. The value of such data are enhanced when the specific dementia stage is identified.
Cyberbullying Humans Machine Learning Cognitive Dysfunction Algorithms Dementia Female Patient Reported Outcome Measures Aged Male
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Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning.

Journal of medical Internet research Oct 29, 2020
Patient-reported assessments are transforming many facets of health care, but there is scope to modernize their delivery. Contemporary assessment techniques like computerized adaptive testing (CAT) and machine learning can be applied to patient-repor...
Patient Reported Outcome Measures Humans Female Machine Learning Feedback Computers Male Psychometrics
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