A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution.
Fatemeh Hashemi AminMahtab GhaemiSayyed Mostafa MostafaviLadan GoshayeshiKhadijeh RezaeiMehdi VahedBehzad KianiPublished in: BMC research notes (2021)
We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. "Male_Stomach_Cancer_Patients" and "Female_Stomach_Cancer_Patients" are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. "Air_Polution_Mashhad" is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, "Stomach_Cancer_and_Risk_Factors" is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.
Keyphrases
- risk factors
- machine learning
- deep learning
- air pollution
- physical activity
- metabolic syndrome
- heavy metals
- cardiovascular disease
- big data
- papillary thyroid
- adverse drug
- emergency department
- squamous cell carcinoma
- smoking cessation
- human health
- particulate matter
- electronic health record
- chronic obstructive pulmonary disease
- childhood cancer
- gas chromatography