Details
| Original language | English |
|---|---|
| Article number | 111167 |
| Number of pages | 7 |
| Journal | Data in Brief |
| Volume | 57 |
| Early online date | 23 Nov 2024 |
| Publication status | Published - Dec 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.
Keywords
- Adverse effects, Diagnosis, Disease evolution, Lung cancer, Treatment
ASJC Scopus subject areas
Sustainable Development Goals
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In: Data in Brief, Vol. 57, 111167, 12.2024.
Research output: Contribution to journal › Article › Research › peer review
}
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 -