{
  "abstract": "Background Manchester Centre for Clinical Neurosciences is the sole provider of neurological services for 3.3 million people in the Greater Manchester region, with all outpatient clinic letters available on a single electronic system. We used text mining and natural language processing techniques to extract neurological diagnoses from clinic letters.Methods All patients attending a general or specialist neurology clinic in 13 hospitals in Greater Manchester between January 2018 and November 2023 were included. Free-text diagnoses were processed through MedCAT, mapped to SNOMED-CT, categorised into 13 headline groups and linked to demographics.Results A total of 125,273 patients were included in the final dataset, from whom 175,293 diagnoses were mapped. Headaches (n=26631, 15.19%), epilepsy/seizure (n=24880, 14.19%), movement disorders (n= 17468, 9.97%), neuromuscular disorders (n=16454, 9.39%) and functional disorders (n=16074, 9.17%) were the most frequent diagnoses. Compared to the census data, patients were overrepresented in the most deprived postcodes (IMD quintile 1, 37%) and underrepresented in the least deprived postcodes (IMD quintile 5, 13%). Headache, epilepsy and functional disorders were overrepresented in IMD quintile 1.Conclusion We have generated a dataset of neurological diagnoses, the largest to our knowledge, to aid epidemiological study into each disease category and understanding of health inequalities.Rajiv.Mohanraj@nca.nhs.uk",
  "authors": [
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T"
      ],
      "name": "Ahmed Rohan"
    },
    {
      "affiliations": [
        "Informatics and data science, Northern Care Alliance NHS Trust"
      ],
      "name": "Hamilton Robyn"
    },
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T",
        "Faculty of Biology Medicine and Health, University of Manchester"
      ],
      "name": "Lilleker James B"
    },
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T",
        "Faculty of Biology Medicine and Health, University of Manchester"
      ],
      "name": "Das Joyutpal"
    },
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T",
        "Faculty of Biology Medicine and Health, University of Manchester"
      ],
      "name": "Rog David"
    },
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T",
        "Faculty of Biology Medicine and Health, University of Manchester"
      ],
      "name": "Silverdale Monty"
    },
    {
      "affiliations": [
        "Department of Computer Science, University of Manchester"
      ],
      "name": "Nenadic Goran"
    },
    {
      "affiliations": [
        "Informatics and data science, Northern Care Alliance NHS Trust"
      ],
      "name": "Webb Karim"
    },
    {
      "affiliations": [
        "1Department of Neurology, Manchester Centre for Clinical Neurosciences, Northern Care Alliance NHS T",
        "Faculty of Biology Medicine and Health, University of Manchester"
      ],
      "name": "Mohanraj Rajiv"
    }
  ],
  "title": "66 Epidemiology of neurological conditions in a large urban conurbation",
  "uid": "379ebf3a-f84b-53eb-b87e-91434e25c3a5"
}