000 01341 a2200385 4500
005 20250518034213.0
264 0 _c20201110
008 202011s 0 0 eng d
022 _a2045-2322
024 7 _a10.1038/s41598-019-42036-w
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aSuel, Esra
245 0 0 _aMeasuring social, environmental and health inequalities using deep learning and street imagery.
_h[electronic resource]
260 _bScientific reports
_c04 2019
300 _a6229 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aCities
_xstatistics & numerical data
650 0 4 _aCrime
_xstatistics & numerical data
650 0 4 _aDeep Learning
650 0 4 _aEmployment
_xstatistics & numerical data
650 0 4 _aHealth Status Disparities
650 0 4 _aHousing
650 0 4 _aHumans
650 0 4 _aIncome
_xstatistics & numerical data
650 0 4 _aLondon
650 0 4 _aNeural Networks, Computer
650 0 4 _aSatellite Imagery
650 0 4 _aSocial Problems
650 0 4 _aSocioeconomic Factors
700 1 _aPolak, John W
700 1 _aBennett, James E
700 1 _aEzzati, Majid
773 0 _tScientific reports
_gvol. 9
_gno. 1
_gp. 6229
856 4 0 _uhttps://doi.org/10.1038/s41598-019-42036-w
_zAvailable from publisher's website
999 _c29603956
_d29603956