h1n1

Demo repo fro DrivenData competition "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines"

Built a web application to predict the possibility of people taking a new vaccine based on opinion-orientated questions and doctor's recommendations data from the H1N1 pandemic.

Vaccination Rates

A GDSC AI Bootcamp Capstone project for predicting the likeliness of individuals to take the H1N1 vaccine .

G.S. Analytics

i-sense project

Transcriptomic profiling pipeline for quantifying multi-segment Influenza A (H1N1) viral gene expression from RNA-seq data using Bowtie2 and R.

The repository contains data and code for scrapping and cleaning data on H1N1 or Swine Flu pandemic in 2009

Logistic regression classifier that predicts how likely people are to take the H1N1 flu vaccine, built on a survey dataset with 34 predictors.

Our goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines.

Predicting H1N1 vaccine uptake from survey data using Logistic Regression with EDA, feature engineering, class-imbalance handling, and F1-optimized threshold tuning

Code for the paper titled End-to-end antigenic variant generation for H1N1 influenza HA protein using sequence to sequence models

Projects for real word problems

This repository is an implementation over the OPI model to discriminate between COVID-19 and H1N1 subjects.

Archive - DS - Analysis of 2019 Coronavirus vs the H1N1 virus

Analysis pipeline and manuscript materials comparing influenza antigenic distance metrics with phylogenetic tree distances