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Hepatitis C Virus For Egyptian Patients Data Set

Kaggle

@kaggle.ishandutta_hepatitis_c_virus_for_egyptian_patients_data_set

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Hepatitis C Virus for Egyptian Patients Data Set

Dataset Description

Data Set Information:

Provide all relevant information about your data set.

Attribute Information:

Age Age
Gender Gender
BMI Body Mass Index
Fever Fever
Nausea/Vomting Nausea/Vomting
Headache Headache
Diarrhea Diarrhea
Fatigue & generalized bone ache Fatigue & generalized bone ache
Jaundice Jaundice
Epigastric pain Epigastric pain
WBC White blood cell
RBC red blood cells
HGB Hemoglobin
Plat Platelets
AST 1 aspartate transaminase ratio
ALT 1 alanine transaminase ratio 1 week
ALT 4 alanine transaminase ratio 12 weeks
ALT 12 alanine transaminase ratio 4 weeks
ALT 24 alanine transaminase ratio 24 weeks
ALT 36 alanine transaminase ratio 36 weeks
ALT 48 alanine transaminase ratio 48 weeks
ALT after 24 w alanine transaminase ratio 24 weeks
RNA Base RNA Base
RNA 4 RNA 4
RNA 12 RNA 12
RNA EOT RNA end-of-treatment
RNA EF RNA Elongation Factor
Baseline histological Grading Baseline histological Grading
Baselinehistological staging Baselinehistological staging

Relevant Papers:

@INPROCEEDINGS{8289800,
author={M. {Nasr} and K. {El-Bahnasy} and M. {Hamdy} and S. M. {Kamal}},
booktitle={2017 13th International Computer Engineering Conference (ICENCO)},
title={A novel model based on non invasive methods for prediction of liver fibrosis},
year={2017},
volume={},
number={},
pages={276-281},
keywords={diseases;liver;medical computing;patient diagnosis;physiological models;liver fibrosis progression diagnosis;classification models;liver biopsy;serial liver biopsies;noninvasive methods;Liver;Medical diagnostic imaging;Decision making;XML;Artificial neural networks;Machine learning algorithms;Subsumption;Minimal unique rules;Classification;Knowledge representation},
doi={10.1109/ICENCO.2017.8289800},
ISSN={},
month={Dec},}


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