AIMC Topic: Patient Reported Outcome Measures

Clear Filters Showing 81 to 90 of 93 articles

Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures.

JCO clinical cancer informatics Apr 1, 2024
PURPOSE: Adverse effects of chemotherapy often require hospital admissions or treatment management. Identifying factors contributing to unplanned hospital utilization may improve health care quality and patients' well-being. This study aimed to asses...
Patient Reported Outcome Measures Quality of Life Antineoplastic Agents Surveys and Questionnaires Female Hospitalization Aged Middle Aged Neoplasms Adult Male Humans Machine Learning
View on PubMed DOI

Patient-Reported Outcomes for Robot-Assisted Laparoscopic Extravascular Renal Vein Stent Placements for Nutcracker Syndrome.

Journal of endourology Apr 1, 2024
Nutcracker phenomenon is the compression of the left renal vein between the superior mesenteric artery (SMA) and the abdominal aorta. Nutcracker syndrome refers to the presence of nutcracker phenomenon with symptoms. Between 2016 and 2022, we perfor...
Humans Adult Stents Patient Reported Outcome Measures Renal Nutcracker Syndrome Renal Veins Male Robotics Laparoscopy
View on PubMed DOI

Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies.

The Lancet. Digital health Mar 1, 2023
Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outco...
Humans Artificial Intelligence Patient Reported Outcome Measures Delivery of Health Care Heart Data Collection
View on PubMed DOI

Deep Learning for Cancer Symptoms Monitoring on the Basis of Electronic Health Record Unstructured Clinical Notes.

JCO clinical cancer informatics Jun 1, 2022
PURPOSE: Symptoms are vital outcomes for cancer clinical trials, observational research, and population-level surveillance. Patient-reported outcomes (PROs) are valuable for monitoring symptoms, yet there are many challenges to collecting PROs at sca...
Humans Patient Reported Outcome Measures Fatigue Electronic Health Records Neoplasms Deep Learning
View on PubMed DOI

Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods.

Substance abuse Jan 1, 2022
Most states have legalized medical cannabis, yet little is known about how medical cannabis use is documented in patients' electronic health records (EHRs). We used natural language processing (NLP) to calculate the prevalence of clinician-documente...
Documentation Medical Marijuana Primary Health Care Natural Language Processing Patient Reported Outcome Measures Humans Adult Adolescent
View on PubMed DOI

Impact of Cystic Fibrosis Transmembrane Conductance Regulator Therapy on Chronic Rhinosinusitis and Health Status: Deep Learning CT Analysis and Patient-reported Outcomes.

Annals of the American Thoracic Society Jan 1, 2022
Elexacaftor, tezacaftor, and ivacaftor (ETI) in triple combination improves pulmonary health for people with cystic fibrosis (PwCF). However, its impact on objective measures of sinus disease and health utility is unestablished. To evaluate the imp...
Aminophenols Cystic Fibrosis Transmembrane Conductance Regulator Deep Learning Mutation Patient Reported Outcome Measures Humans Adult Quality of Life Prospective Studies Tomography, X-Ray Computed
View on PubMed DOI

Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Patients desire face-lifting procedures primarily to appear younger, more refreshed, and attractive. Because there are few objective studies assessing the success of face-lift surgery, the authors used artificial intelligence, in the form...
Humans Female Middle Aged Quality of Life Reproducibility of Results Aged Patient Satisfaction Automated Facial Recognition Follow-Up Studies Face Deep Learning Rejuvenation Feasibility Studies Postoperative Period Image Processing, Computer-Assisted Rhytidoplasty Patient Reported Outcome Measures Preoperative Period Treatment Outcome
View on PubMed DOI

A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development: The Electronic Person-Specific Outcome Measure (ePSOM) Programme.

The journal of prevention of Alzheimer's disease Jan 1, 2021
BACKGROUND: It is important to use outcome measures for novel interventions in Alzheimer's disease (AD) that capture the research participants' views of effectiveness. The electronic Person-Specific Outcome Measure (ePSOM) development programme is un...
United Kingdom Self Report Alzheimer Disease Patient Reported Outcome Measures Surveys and Questionnaires Drug Development Natural Language Processing Brain Humans Male Female Research Design Middle Aged
View on PubMed DOI

Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT).

Studies in health technology and informatics Aug 21, 2019
The study was to develop the lung cancer patients' prediction model for predicting 5-year survival after completion of treatment by using Machine Learning Technology (MLT), adding patient reporting (PRO) measurements of lung cancer survivors to a var...
Machine Learning Lung Neoplasms Patient Reported Outcome Measures Humans Survivors
View on PubMed DOI

Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2019
BACKGROUND: Identifying patients at risk of not achieving meaningful gains in long-term postsurgical patient-reported outcome measures (PROMs) is important for improving patient monitoring and facilitating presurgical decision support. Machine learni...
Middle Aged Arthroplasty, Replacement, Hip Predictive Value of Tests Minimal Clinically Important Difference Female Registries Disability Evaluation Humans Aged Arthroplasty, Replacement, Knee Machine Learning Male Patient Reported Outcome Measures Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals