Predicting hepatitis C infection with machine learning algorithms: a prospective study

Orlando Iparraguirre-Villanueva; Rosalynn Ornella Flores-Castañeda; Henry Chero-Valdivieso; Fernando Sierra-Liñan

doi:10.11591/ijai.v13.i4.pp4403-4413

Predicting hepatitis C infection with machine learning algorithms: a prospective study

Orlando Iparraguirre-Villanueva
, Rosalynn Ornella Flores-Castañeda
, Henry Chero-Valdivieso
, Fernando Sierra-Liñan

Research group on information and communication systems

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Original language	English
Pages (from-to)	4403-4413
Number of pages	11
Journal	IAES International Journal of Artificial Intelligence
Volume	13
Issue number	4
DOIs	https://doi.org/10.11591/ijai.v13.i4.pp4403-4413
State	Published - 1 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.11591/ijai.v13.i4.pp4403-4413

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title = "Predicting hepatitis C infection with machine learning algorithms: a prospective study",

keywords = "Hepatitis C, Infection, Machine learning, Models, Prediction",

author = "Orlando Iparraguirre-Villanueva and Flores-Casta{\~n}eda, \{Rosalynn Ornella\} and Henry Chero-Valdivieso and Fernando Sierra-Li{\~n}an",

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language = "English",

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T1 - Predicting hepatitis C infection with machine learning algorithms

T2 - a prospective study

AU - Iparraguirre-Villanueva, Orlando

AU - Flores-Castañeda, Rosalynn Ornella

AU - Chero-Valdivieso, Henry

AU - Sierra-Liñan, Fernando

PY - 2024/12/1

Y1 - 2024/12/1

KW - Hepatitis C

KW - Infection

KW - Machine learning

KW - Models

KW - Prediction

UR - https://www.scopus.com/pages/publications/105026614016

U2 - 10.11591/ijai.v13.i4.pp4403-4413

DO - 10.11591/ijai.v13.i4.pp4403-4413

M3 - Article

AN - SCOPUS:105026614016

SN - 2089-4872

VL - 13

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EP - 4413

JO - IAES International Journal of Artificial Intelligence

JF - IAES International Journal of Artificial Intelligence

IS - 4

ER -

Predicting hepatitis C infection with machine learning algorithms: a prospective study

UN SDGs

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