AIMC Topic: Censuses

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Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

PloS one Jul 9, 2025
BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation and treatment response. Identifying distinct subphenotypes of HTN may improve our understanding of its underlying mechanisms and guide more precise t...
Humans Phenotype Electronic Health Records Female Aged Adult Male Middle Aged Diabetes Mellitus, Type 2 United States Hypertension Body Mass Index Unsupervised Machine Learning Medicaid Censuses
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Prediction of clinical trial enrollment rates.

PloS one Feb 24, 2022
Clinical trials represent a critical milestone of translational and clinical sciences. However, poor recruitment to clinical trials has been a long standing problem affecting institutions all over the world. One way to reduce the cost incurred by ins...
Humans Machine Learning Algorithms Forecasting Models, Theoretical Natural Language Processing Patient Selection Clinical Trials, Phase III as Topic Clinical Trials, Phase I as Topic Censuses Translational Science, Biomedical
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Artificial intelligence for celestial object census: the latest technology meets the oldest science.

Science bulletin Jul 15, 2021
Artificial Intelligence Technology Censuses
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A machine learning approach to predict ethnicity using personal name and census location in Canada.

PloS one Nov 18, 2020
BACKGROUND: Canada is an ethnically-diverse country, yet its lack of ethnicity information in many large databases impedes effective population research and interventions. Automated ethnicity classification using machine learning has shown potential ...
Humans Machine Learning Reproducibility of Results Canada Logistic Models Support Vector Machine Bayes Theorem Ethnicity Censuses
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