Hepatitis C virus (HCV) monitoring assistant

Prerequisites

1. Get WSL2 (Ubuntu24)

   Follow this guide: https://learn.microsoft.com/en-us/windows/wsl/install

   • Install Ubuntu 24 in WSL2

     1.1. Open Microsoft Store.

     1.2. Search for Ubuntu 24.04 LTS.

     1.3. Click Install.

     1.4. Once installed, launch it from Start Menu or run:

     wsl -d Ubuntu-24.04
     

   After installation, you need to set up a username and password. Then run:

   sudo apt update && sudo apt upgrade -y
   

2. Install needed dependencies

   sudo apt install python3-venv python-is-python3 build-essential cmake ninja-build
   

NOTE: currently, TFLite library is built for Ubuntu24 only, so if trying to build the application with different distro, the libstdc++6 will be problematic, because it is with different verion in different distros.

Formatting/linting

Use black to format the python scripts. Use ruff to lint the python scripts.

Topics

Dataset Name

URL:

# of Instances:

# of Features (Columns):

Feature List: - Feature 1 - Feature 2 - Feature 3 - ...

Target Variable: <TARGET_COLUMN_NAME>

Target Classes / Values: - Class 1 - Class 2 - Class 3 - ...

Dataset Type: - Classification / Multiclass / Regression - Medical / Tabular / Imaging / etc.

Notes: - Any quirks, missing values, imbalance, etc.

Indian Liver Disease Dataset

URL: https://www.kaggle.com/datasets/paramjeetsinghds/indian-liver-disease-dataset

# of Instances: 68,000 (training CSV) +

# of Features (Columns): 29

Feature List: - Patient_ID - Age - Gender - Occupation - BMI - Obesity_Class - Diet_Quality - Physical_Activity - Sleep_Hours - Smoking_Status - Alcohol_Consumption - Sym_Fatigue - Sym_Jaundice - Sym_Abdominal_Pain - Sym_Itching - Sym_Ascites - Sym_Dark_Urine - Sym_Weight_Loss - Comorb_Diabetes - Comorb_Hypertension - Comorb_Genetic_History - ALT - AST - Bilirubin - Albumin - Platelets - Alk_Phosphatase - Liver_Disease_Type (target)

Target Variable: Liver_Disease_Type

Target Classes / Values: - Normal - Fatty_Liver - Alcoholic_Liver_Disease - Cirrhosis - Hepatitis_B - Hepatitis_C

Dataset Type: Multiclass classification — medical tabular dataset

Notes: - Symptoms may be unreliable or optional - Strong lab markers included (ALT, AST, Bilirubin, Albumin, ALP, Platelets) - Contains lifestyle + comorbidity features

Hepatitis C Virus (HCV) for Egyptian Patients

Link/URL: https://www.kaggle.com/datasets/mdrakiburrahman10/hepatitis-c-virus-hcv-for-egyptian-patients

# of Instances: Not specified on the page (dataset file is very small: ~1.88 kB)

# of Features (Columns): 29 features

Feature List: The dataset page lists 29 feature names, but the exact column names are not shown in the preview. It does show that features are discretized into categories like: - Absent / Present - Numeric bins such as [0; 20[, [20; 40], ]40; 128]

Target Variable: Not explicitly stated on the page. Given the dataset title, the target is likely a Hepatitis C diagnosis or stage, but the page does not confirm this.

Target Classes / Values: Not shown on the dataset page.

Dataset Type: Medical tabular dataset Likely classification (based on context), but not explicitly stated.

Notes: - Dataset contains 29 discretized features. - Values include categorical indicators like Absent / Present and numeric ranges. - No description, documentation, or column details are provided on the Kaggle page. - Only one file is available: Discretization-Criteria.csv (1.88 kB).

Others

• https://archive.ics.uci.edu/dataset/102/thyroid+disease
• Photos:
  • https://medmnist.com/
  • https://universe.roboflow.com/roboflow100vl-fsod/liver-diseases-fsod-gjyx
• https://archive.ics.uci.edu/dataset/296/diabetes+130+us+hospitals+for+years+1999+2008

• https://www.kaggle.com/datasets/nikee7/parkinsons-tremor-classification-dataset/data

• Liver disease related:

  • https://www.kaggle.com/datasets/davidechicco/hepatitis-c-ehrs-from-japan
    • has 123 instances
  • https://www.kaggle.com/datasets/fedesoriano/hepatitis-c-dataset
    • Same as mine

https://github.com/EvangeliaPetraki/Hepatitis_Dataset_Analysis_and_Classification https://github.com/mauro-nievoff/MultiCaRe_Dataset