AIMC Topic: Administrative Claims, Healthcare

Clear Filters Showing 1 to 10 of 13 articles

Applying machine learning approaches for predicting obesity risk using US health administrative claims database.

BMJ open diabetes research & care Sep 26, 2024
INTRODUCTION: Body mass index (BMI) is inadequately recorded in US administrative claims databases. We aimed to validate the sensitivity and positive predictive value (PPV) of BMI-related diagnosis codes using an electronic medical records (EMR) clai...
Female Risk Factors Aged Young Adult Adult Databases, Factual Prognosis Retrospective Studies Electronic Health Records ROC Curve United States Body Mass Index Obesity Administrative Claims, Healthcare Male Middle Aged Risk Assessment Adolescent Humans Machine Learning
View on PubMed DOI

Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

Advances in therapy Jun 10, 2022
INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world application, we report a new data-to-prediction pipeline that advanced the state-of-the-art predictive performance of body mass index (BMI) classifications b...
Databases, Factual ROC Curve Body Mass Index Administrative Claims, Healthcare Humans Machine Learning Delivery of Health Care
View on PubMed DOI

Accuracy of Algorithms to Identify People with Atopic Dermatitis in Ontario Routinely Collected Health Databases.

The Journal of investigative dermatology Feb 9, 2021
Humans Machine Learning Databases, Factual Cost of Illness Administrative Claims, Healthcare Electronic Health Records Ontario Data Collection Dermatitis, Atopic
View on PubMed DOI

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
Aged Aged, 80 and over Male Middle Aged Support Vector Machine Humans Phenotype Female Reproducibility of Results Health Services Research Administrative Claims, Healthcare Predictive Value of Tests Data Mining Intracranial Hemorrhages International Classification of Diseases
View on PubMed DOI

Machine learning and the future of Medicare fraud detection.

Journal of the American Academy of Dermatology Mar 29, 2020
Machine Learning United States Medicare Data Mining Datasets as Topic Clinical Coding Administrative Claims, Healthcare Fraud Financial Audit
View on PubMed DOI

Atrial Fibrillation Burden Signature and Near-Term Prediction of Stroke: A Machine Learning Analysis.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: Atrial fibrillation (AF) increases the risk of stroke 5-fold and there is rising interest to determine if AF severity or burden can further risk stratify these patients, particularly for near-term events. Using continuous remote monitorin...
Risk Factors Aged Aged, 80 and over Male Middle Aged Machine Learning Risk Assessment Humans Prognosis Diagnosis, Computer-Assisted Neural Networks, Computer Retrospective Studies Time Factors Logistic Models Electronic Health Records Female Atrial Fibrillation Proof of Concept Study Administrative Claims, Healthcare Telemetry Veterans Health Services United States Predictive Value of Tests Signal Processing, Computer-Assisted Stroke
View on PubMed DOI

Prodromal clinical, demographic, and socio-ecological correlates of asthma in adults: a 10-year statewide big data multi-domain analysis.

The Journal of asthma : official journal of the Association for the Care of Asthma Jul 26, 2019
To identify prodromal correlates of asthma as compared to chronic obstructive pulmonary disease and allied-conditions (COPDAC) using a multi domain analysis of socio-ecological, clinical, and demographic domains. This is a retrospective case-risk-co...
Middle Aged Risk Assessment Case-Control Studies Big Data ROC Curve Socioeconomic Factors Longitudinal Studies Models, Biological Early Diagnosis Female Risk Factors Adult Asthma Male Humans Machine Learning Retrospective Studies Administrative Claims, Healthcare Florida
View on PubMed DOI

Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Journal of vascular surgery Feb 8, 2017
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative n...
Humans Algorithms Databases, Factual Retrospective Studies Natural Language Processing Data Mining Ankle Brachial Index International Classification of Diseases Administrative Claims, Healthcare Electronic Health Records Lower Extremity Peripheral Arterial Disease Models, Statistical Minnesota
View on PubMed DOI

Identifying Drug-Drug Interactions by Data Mining: A Pilot Study of Warfarin-Associated Drug Interactions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechanisms of action. Our aim was to investigate whether drug-drug interactions were discoverable without ...
Polypharmacy Pilot Projects Logistic Models Data Mining Predictive Value of Tests Atrial Fibrillation Anticoagulants Drug Prescriptions Administrative Claims, Healthcare Blood Coagulation Warfarin International Normalized Ratio Registries Drug Interactions Risk Factors Aged Humans Aged, 80 and over Machine Learning Male Retrospective Studies Female
View on PubMed DOI

Applying AI to Care Management and Claims Processing.

North Carolina medical journal Jun 1, 2024
This article explores the current and potential applications of AI in care management and health care administration through the experience of Acentra Health. By discussing various AI use cases, this paper highlights how AI can augment the capabiliti...
Artificial Intelligence North Carolina Administrative Claims, Healthcare
View on PubMed DOI
Popular Topics
Recent Journals