Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

10,928 articles
Stay Ahead - Weekly Practice Management research updates
Subscribe
Browse Categories
Showing 799-819 of 10,928 articles
From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario’s Hospital Feedback

Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world eval...

ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...

Development of a Claims-Based Computable Phenotype for Ulcerative Colitis Flares

Several conditions exist that do not have their own unique diagnosis code in widely-used clinical te...

Identifying Psychiatric Manifestations in Outpatients with Depression and Anxiety: A Large Language Model-Based Approach

Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, while cu...

Learning the natural history of human disease with generative transformers

Decision-making in healthcare relies on the ability to understand patients’ past and current health ...

24-hour Physical Activity, Sedentary, and Sleep Profiles in Individuals with Cancer: A UK Biobank Cohort Study

The 24h behaviour profile, including physical activity, sedentary time, and sleep, is disrupted foll...

Leveraging functional annotations to map rare variants associated with Alzheimer’s disease with gruyere

The increasing availability of whole-genome sequencing (WGS) has begun to elucidate the contribution...

Profile of deaths mentioning ischemic and hemorrhagic stroke in Brazil: a population-based machine learning analysis

Brazil has the highest stroke rates in Latin America. The aim of this study was to investigate the p...

Predictive Modeling of Heart Failure Readmissions

Federal programs to mitigate hospital readmission of patients with heart failure (HF) monetarily enc...

Evaluating Enhanced LLMs for Precise Mental Health Diagnosis from Clinical Notes

Anxiety, depression, and other mental health conditions are affecting millions of people worldwide e...

Federated Learning for the pathogenicity annotation of genetic variants in multi-site clinical settings

Rare diseases collectively affect 5% of the population. However, fewer than 50% of rare disease pati...

Feasibility of Machine Learning Analysis for the Identification of Patients with Possible Primary Ciliary Dyskinesia

Significant diagnostic delays are common in primary ciliary dyskinesia (PCD), a rare disease that is...

Variation and Standardization in Prior Authorization Requirements

Prior authorization (PA) rules are neither regulated nor standardized. To quantify the variation in ...

Contextualized Biomedical Language Processing Enhances ICU Survival Prediction

Cerebrospinal fluid (CSF) culture is the diagnostic gold standard for neuroinfectious diseases such ...

Identification of (ultra-)rare functional promoter mutations in cancer using sequence-based deep learning models

The identification of non-coding somatic cancer-driver mutations remains challenging due to difficul...

Integrative Machine Learning Approach to Risk Prediction for Dementia and Alzheimer’s Disease

Dementia, especially Alzheimer’s disease (AD), is a major global health challenge marked by progress...

Clinician-Led Code-Free Deep Learning for Detecting Papilloedema and Pseudopapilloedema Using Optic Disc Imaging

Differentiating pseudopapilloedema from papilloedema is challenging, but critical for prompt diagnos...

Prediction of impulse control disorders in Parkinson’s disease: a longitudinal machine learning study

Impulse control disorders (ICD) in Parkinson’s disease (PD) patients mainly occur as adverse effects...

Browse Categories