Detecting Methotrexate in Pediatric Patients Using Artificial Neural Networks
Source abstract
Abstract
Methotrexate is an antimetabolic agent with proliferative and immunosuppressive activity. It has been demonstrated to be an effective treatment for acute lymphoblastic leukemia (ALL) in children. However, there is evidence of an association between methotrexate and toxicity risks, which influences the personalization of treatment, particularly in the case of childhood ALL. This article presents the development and implementation of an algorithm based on artificial neural networks to detect methotrexate toxicity in pediatric patients with acute lymphoblastic leukemia. The algorithm utilizes historical clinical and laboratory data, with an effectiveness of 99% in the tests performed with the patient dataset. The use of neural networks in medicine is often linked to disease diagnosis systems. However, neural networks are not only capable of recognizing examples but also hold very important information. For this reason, one of the main areas of application of neural networks is the interpretation of medical data. In this article, we diagnose, with the application of neural networks in medicine, a concrete example: detecting methotrexate in its early stages in pediatric patients.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Acute Lymphoblastic Leukemia research · Lung Cancer Research Studies · Chronic Lymphocytic Leukemia Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Instituto Nacional de Astrofísica, Óptica y Electrónica, Coordinación de Ciencias Computacionales—Conahcyt, Santa María Tonanzintla, San Andres Cholula, Puebla 72840, Mexico
Universidad de Ciencia y Tecnología Descartes, Avenida Ciprés 480, Tuxtla Gutiérrez 29065, Mexico
Tecnológico Nacional de México, Instituto Tecnológico de Tuxtla Gutiérrez, Carretera Panamericana Km. 1080, Tuxtla Gutiérrez 29050, Mexico
Tecnológico Nacional de México, IT Hermosillo, Av. Tecnológico y Periférico Poniente S/N, Hermosillo 83170, Mexico
Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Boulevard Universitario #1000, Unidad Valle de las Palmas, Tijuana 21500, Mexico
Secretaria Académica, Universidad Politécnica del Golfo de México, Carretera Federal Malpaso—El Bellote Km. 171 / Monte Adentro, Paraíso, Tabasco 86600, Mexico
Funding
authors · some of the institutions where the authors themselves are employed
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