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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • 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

Externe Organisationen

  • 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
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer111167
Seitenumfang7
FachzeitschriftData in Brief
Jahrgang57
Frühes Online-Datum23 Nov. 2024
PublikationsstatusVeröffentlicht - Dez. 2024

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.

ASJC Scopus Sachgebiete

Ziele für nachhaltige Entwicklung

Zitieren

A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. / Ríos-Sánchez, Belén; Vigueras, Guillermo; García, Aaron et al.
in: Data in Brief, Jahrgang 57, 111167, 12.2024.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Ríos-Sánchez, B, Vigueras, G, García, A, Gómez-Bravo, D, Menasalvas, E, Torrente, M, Parejo, C, Aisopos, F, Vogiatzis, D, Purohit, D, Provencio, M, Vidal, ME & Rodríguez-González, A 2024, 'A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient', Data in Brief, Jg. 57, 111167. https://doi.org/10.1016/j.dib.2024.111167
Ríos-Sánchez, B., Vigueras, G., García, A., Gómez-Bravo, D., Menasalvas, E., Torrente, M., Parejo, C., Aisopos, F., Vogiatzis, D., Purohit, D., Provencio, M., Vidal, M. E., & Rodríguez-González, A. (2024). A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. Data in Brief, 57, Artikel 111167. https://doi.org/10.1016/j.dib.2024.111167
Ríos-Sánchez B, Vigueras G, García A, Gómez-Bravo D, Menasalvas E, Torrente M et al. A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. Data in Brief. 2024 Dez;57:111167. Epub 2024 Nov 23. doi: 10.1016/j.dib.2024.111167
Ríos-Sánchez, Belén ; Vigueras, Guillermo ; García, Aaron et al. / A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient. in: Data in Brief. 2024 ; Jahrgang 57.
Download
@article{159b80baffd7494c9500bee36d35ae29,
title = "A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient",
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.",
keywords = "Adverse effects, Diagnosis, Disease evolution, Lung cancer, Treatment",
author = "Bel{\'e}n R{\'i}os-S{\'a}nchez and Guillermo Vigueras and Aaron Garc{\'i}a and Daniel G{\'o}mez-Bravo and Ernestina Menasalvas and Mar{\'i}a Torrente and Consuelo Parejo and Fotis Aisopos and Dimitrios Vogiatzis and Disha Purohit and Mariano Provencio and Vidal, {Mar{\'i}a Esther} and Alejandro Rodr{\'i}guez-Gonz{\'a}lez",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
month = dec,
doi = "10.1016/j.dib.2024.111167",
language = "English",
volume = "57",
journal = "Data in Brief",
publisher = "Elsevier BV",

}

Download

TY - JOUR

T1 - A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient

AU - Ríos-Sánchez, Belén

AU - Vigueras, Guillermo

AU - García, Aaron

AU - Gómez-Bravo, Daniel

AU - Menasalvas, Ernestina

AU - Torrente, María

AU - Parejo, Consuelo

AU - Aisopos, Fotis

AU - Vogiatzis, Dimitrios

AU - Purohit, Disha

AU - Provencio, Mariano

AU - Vidal, María Esther

AU - Rodríguez-González, Alejandro

N1 - Publisher Copyright: © 2024 The Author(s)

PY - 2024/12

Y1 - 2024/12

N2 - 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.

AB - 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.

KW - Adverse effects

KW - Diagnosis

KW - Disease evolution

KW - Lung cancer

KW - Treatment

UR - http://www.scopus.com/inward/record.url?scp=85211245407&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2024.111167

DO - 10.1016/j.dib.2024.111167

M3 - Article

AN - SCOPUS:85211245407

VL - 57

JO - Data in Brief

JF - Data in Brief

M1 - 111167

ER -