A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient

verfasst von

Belén Ríos-Sánchez, Guillermo Vigueras, Aaron García, Daniel Gómez-Bravo, Ernestina Menasalvas, María Torrente, Consuelo Parejo, Fotis Aisopos, Dimitrios Vogiatzis, Disha Purohit, Mariano Provencio, María Esther Vidal, Alejandro Rodríguez-González

Abstract

This dataset comprises information about 1242 lung cancer patients collected by the Medical Oncology Department of the Puerta de Hierro University Hospital of Majadahonda in Madrid, Spain. It includes information about cancer diagnosis and treatment, as well as personal and medical data recorded during anamneses. The dataset could assist in data analysis with the aim of discovering relationships between the applied treatment(s), the evolution of the disease and the associated adverse effects. A greater understanding of treatment effects based on the particular conditions of the patient and the diagnosis could directly impact the healthcare system, helping to improve expectations about lung cancer as well as reducing treatment toxicities and adverse effects.

Organisationseinheit(en)

Institut für Data Science
Forschungszentrum L3S

Externe Organisation(en)

Universidad Politécnica de Madrid (UPM)
Hospital Universitario Puerta de Hierro de Majadahonda
National Centre For Scientific Research Demokritos (NCSR Demokritos)
The American College of Greece (ACG)
Technische Informationsbibliothek (TIB) Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek

Typ

Artikel

Journal

Data in Brief

Band

57

Anzahl der Seiten

7

Publikationsdatum

12.2024

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Allgemein

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.1016/j.dib.2024.111167 (Zugang: Offen)