About the dataset

This data set contains liver patient records and non liver patient records collected from North East of Andhra Pradesh, India. The "Liver_Problem" column is the target variable used to divide groups into liver patient ( Liver_Problem == 1) or not ( Liver_Problem == 2).

Liver_Problem == 1, implies the individual is a liver patient
Liver_Problem == 2, implies the individual is not a liver patient

To load the dataset in your jupyter notebook, use the below command:

import pandas as pd
liver_data = pd.read_csv('https://raw.githubusercontent.com/dphi-official/Datasets/master/liver_patient_data/indian_liver_patient_dataset.csv')

Data Description:

Age of the patient
Gender of the patient
Total Bilirubin
Direct Bilirubin
Alkaline Phosphotase
Alamine Aminotransferase
Aspartate Aminotransferase
Total Protiens
Albumin
Albumin and Globulin Ratio
"Liver_Problem" column is the target variable used to divide groups into liver patient (liver disease) or not (no disease).

Some of the data are slightly technical, you may refer online resources to learn more about them.

Evaluation Dataset

Load the evaluation dataset (name it as 'eval_data'). You can load the data using the below command.

eval_data = pd.read_csv('https://raw.githubusercontent.com/dphi-official/Datasets/master/liver_patient_data/indian_liver_patient_new_testdataset.csv')

Here the Liver_Problem column is deliberately not there as you need to predict it.

Reference:

This dataset is downloaded from the UCI Machine Learning Repository.

Indian Liver Patient

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