nlp_data

A dataset containing simulated epidemiological text data, such as outbreak reports or health alerts, for NLP analysis.

datasets

Integrates methods for epidemiological analysis, modeling, and visualization, including functions for summary statistics, SIR (Susceptible-Infectious-Recovered) modeling, DALY (Disability-Adjusted Life Years) estimation, age standardization, diagnostic test evaluation, NLP (Natural Language Processing) keyword extraction, clinical trial power analysis, survival analysis, SNP (Single Nucleotide Polymorphism) association, and machine learning methods such as logistic regression, k-means clustering, Random Forest, and Support Vector Machine (SVM). Includes datasets for prevalence estimation, SIR modeling, genomic analysis, clinical trials, DALY, diagnostic tests, and survival analysis. Methods are based on Gelman et al. (2013) <doi:10.1201/b16018> and Wickham et al. (2019, ISBN:9781492052040>.

Esther Atsabina Wanjala

EpidigiR

Digital Epidemiological Analysis and Visualization Tools

nlp_data function

A data frame with 100 rows and 2 columns:<dl>
 <dt>id</dt>
<dd>Character, unique identifier for each text entry.</dd> <dt>text</dt>
<dd>Character, text content (e.g., outbreak descriptions, health reports).</dd>
</dl>

Format

NLP Data for Epidemiological Text Analysis — nlp_data

A data frame with 100 rows and 2 columns:<dl>
 <dt>id</dt>
<dd>Character, unique identifier for each text entry.</dd>

 <dt>text</dt>
<dd>Character, text content (e.g., outbreak descriptions, health reports).</dd>


</dl>

nlp_data: NLP Data for Epidemiological Text Analysis

Description

Usage

Arguments

Format

Examples