AIMC Topic: Patient Outcome Assessment

Clear Filters Showing 11 to 20 of 23 articles

Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeutics.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: There is a lack of research studying patient-generated data on Reddit, one of the world's most popular forums with active users interested in dermatology. Techniques within natural language processing, a field of artificial intelligence, ...
Natural Language Processing Feasibility Studies Dermatology Cluster Analysis Psoriasis Social Media Patient Outcome Assessment Acne Vulgaris Sunbathing Software Reproducibility of Results Humans
View on PubMed DOI

Ensuring Fairness in Machine Learning to Advance Health Equity.

Annals of internal medicine Dec 4, 2018
Machine learning is used increasingly in clinical care to improve diagnosis, treatment selection, and health system efficiency. Because machine-learning models learn from historically collected data, populations that have experienced human and struct...
Healthcare Disparities Critical Care Patient Outcome Assessment Health Care Rationing Length of Stay Social Justice Health Equity Humans Machine Learning
View on PubMed DOI

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval methods. However, it is well known that many methodological obstacles exist in accessing data within EHRs....
Humans Natural Language Processing Prostatic Neoplasms Data Mining Male Patient Outcome Assessment Erectile Dysfunction Algorithms Middle Aged Urinary Incontinence Electronic Health Records Medical Records Systems, Computerized Postoperative Complications Aged
View on PubMed

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy.

Stroke Apr 6, 2017
BACKGROUND AND PURPOSE: This study evaluated the use of an artificial intelligence platform on mobile devices in measuring and increasing medication adherence in stroke patients on anticoagulation therapy. The introduction of direct oral anticoagulan...
Medical Informatics Applications Aged Middle Aged Adult Medication Adherence Male Humans Mobile Applications Brain Ischemia Artificial Intelligence Patient Outcome Assessment Female Anticoagulants Stroke
View on PubMed DOI

An algorithm for direct causal learning of influences on patient outcomes.

Artificial intelligence in medicine Nov 5, 2016
OBJECTIVE: This study aims at developing and introducing a new algorithm, called direct causal learner (DCL), for learning the direct causal influences of a single target. We applied it to both simulated and real clinical and genome wide association ...
Bayes Theorem Alzheimer Disease Patient Outcome Assessment Genome-Wide Association Study Machine Learning Humans Female Algorithms Causality Breast Neoplasms Prognosis
View on PubMed DOI

Targeted use of growth mixture modeling: a learning perspective.

Statistics in medicine Nov 2, 2016
From the statistical learning perspective, this paper shows a new direction for the use of growth mixture modeling (GMM), a method of identifying latent subpopulations that manifest heterogeneous outcome trajectories. In the proposed approach, we uti...
Humans Machine Learning Prognosis Models, Statistical Reproducibility of Results Supervised Machine Learning Bipolar Disorder Longitudinal Studies Patient Outcome Assessment
View on PubMed DOI

Using Linked Data for polarity classification of patients' experiences.

Journal of biomedical informatics Jul 23, 2015
Polarity classification is the main subtask of sentiment analysis and opinion mining, well-known problems in natural language processing that have attracted increasing attention in recent years. Existing approaches mainly rely on the subjective part ...
Patient Outcome Assessment Humans Semantic Web Natural Language Processing Semantics
View on PubMed DOI

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.

JCO clinical cancer informatics Aug 1, 2024
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studies suggest that factors affecting breast cancer-related morbidity and survival are influenced by tre...
Humans Quality of Life Natural Language Processing Patient-Centered Care Patient Outcome Assessment Electronic Health Records Female Breast Neoplasms
View on PubMed DOI

Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics Mar 1, 2021
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...
Bayes Theorem Patient Satisfaction Patient Outcome Assessment Machine Learning Humans Feedback Electronic Health Records Social Media Natural Language Processing
View on PubMed DOI

An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
Humans Machine Learning Electronic Health Records Female Physician-Patient Relations Patient Satisfaction Patient Outcome Assessment Social Network Analysis Logistic Models Models, Statistical Decision Trees Male Surveys and Questionnaires ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals