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Artificial Intelligence in Health SDoH in clinical narratives

Table 1. (Continued)
Information Distribution Number of articles Percentage distribution of articles (%)
Radiology 11792 2.78
Urology 11641 2.75
Gynecology 9354 2.21
Infectiology 9190 2.17
Traumatology 8028 1.90
Hematology 6968 1.65
Anesthesiology 6398 1.51
Endocrinology 4996 1.18
Neurology 4911 1.16
Rheumatology 3687 0.87
Nephrology 3555 0.84
Psychiatry 3273 0.77
Dentistry 2655 0.63
Forensic 2332 0.55
Public Health 1165 0.28
Rehabilitation 1140 0.27
Genetics 931 0.22
Allergy 651 0.15
Unknown 40094 8.65
Diagnosis Neoplasms 154185 33.26
Pathological signs and symptoms 117438 25.33
Nervous system diseases 83899 18.10
Infections 68717 14.82
Cardiovascular diseases 67711 14.61
Digestive system diseases 40355 8.71
Musculoskeletal diseases 38527 8.31
Urogenital diseases 37470 8.08
Respiratory tract diseases 31740 6.85
Hemic and lymphatic diseases 30350 6.55
Skin and connective tissue diseases 22786 4.92
Nutritional and metabolic diseases 20015 4.32
Wounds and injuries 19674 4.24
Eye diseases 19475 4.20
Congenital, hereditary, and neonatal diseases 15903 3.43
Stomatognathic diseases 9776 2.11
Endocrine system diseases 9768 2.11
Mental disorders 9109 1.97
Chemically-induced disorders 7722 1.67
Immune system diseases 7054 1.52
Otorhinolaryngologic diseases 4339 0.94
Occupational diseases 914 0.20
Animal diseases 394 0.08
Disorders of environmental origin 2 0.00
Note: Percentages of known characteristics are expressed relative to the total number of known articles; the cumulative percentage of diagnoses is more
than 100% as a single article can have one or more assigned diagnoses; the list of diagnoses is based on the Medical Subject Headings (MeSH).

Volume 1 Issue 2 (2024) 122 doi: 10.36922/aih.2737