Developers

Tolulope Ajuwon

Brett Lidbury

Contact Correspondence and request for materials related to this study should be addressed to: busayo.ajuwon@anu.edu.au

Citation Please cite by referencing this publication: “The Development of a Machine Learning Algorithm for Early Detection of Viral Hepatitis B Infection in Nigerian Patients”.

App Info Version 1.0

News & Updates HepB LiveTest is a diagnostic tool for hepatitis B virus (HBV) powered by machine learning, and designed as a proof of concept for clinical prediction of a patient HBV infection status in real- time.

This user-friendly web-based tool provides a graphical user interface (GUI) to access our predictive diagnostic model of HBV infection.

HepB LiveTest was created on 31 March 2022 to supplement the following publication:
“The Development of a Machine Learning Algorithm for Early Detection of Viral Hepatitis B Infection in Nigerian Patients”.

Developers

Busayo Ajuwon

Tolulope Ajuwon

Brett Lidbury

Contact Correspondence and request for materials related to this study should be addressed to: busayo.ajuwon@anu.edu.au

Citation Please cite by referencing this publication: “The Development of a Machine Learning Algorithm for Early Detection of Viral Hepatitis B Infection in Nigerian Patients”.

Introduction Welcome to HepB LiveTest. This is a web-accessible app for prediction of HBV infection in real-time.

How does HepB LiveTest work?

To use HepB LiveTest, simply input the values of the four routine blood tests, constituting the predictive rules based on decision thresholds established by our model, then click the predict button to know the HBV infection status of a patient in real-time.

Disclaimer HepB LiveTest is currently only available for research purpose to support dissemination for independent testing in other cohorts, and to encourage further study on the clinical prediction of HBV infection using cutting-edge machine learning strategies. This tool should not be used to provide clinical advice; as further clinical validations are still in progress to maximise impact.

Data sharing between independent researchers and clinicians is encouraged to expedite direct translation of HeB LiveTest to clinical domain.

Make Prediction

If you need more info, please check research publication.

AST(U/L)

WBC(10⁹/L)

Age(Years)

ALT(U/L)

HBsAg

Introduction Welcome to HepB LiveTest. This is a web-accessible app for prediction of HBV infection in real-time. How does HepB LiveTest work?

To use HepB LiveTest, simply input the values of the four routine blood tests, constituting the predictive rules based on decision thresholds established by our model, then click the predict button to know the HBV infection status of a patient in real-time.

Disclaimer HepB LiveTest is currently only available for research purpose to support dissemination for independent testing in other cohorts, and to encourage further study on the clinical prediction of HBV infection using cutting-edge machine learning strategies. This tool should not be used to provide clinical advice; as further clinical validations are still in progress to maximise impact.

Data sharing between independent researchers and clinicians is encouraged to expedite direct translation of HeB LiveTest to clinical domain.