This month’s podcast draws out some intriguing themes from HDR UK’s first 100+ open access scientific publications. Publications specifically cited in this podcast include:
- Fusar-Poli et al 2019, Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol. Frontiers in Psychiatry, 10: 109
- Ramu et al 2019, Recorded poor insight as a predictor of service use outcomes: cohort study of patients with first-episode psychosis in a large mental healthcare database. BMJ Open, 9:1-7
- Velupillai et al 2019, Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior. Psychiatry, 10:36
- Hastie et al 2019, Antenatal exposure to solar radiation and learning disabilities: Population cohort study of 422,512 children. Scientific Reports, 9(9356):1-9 (please also see this case study)
- Fleming et al 2019, Educational and Health Outcomes of Children Treated for Type 1 Diabetes: Scotland-Wide Record Linkage Study of 766,047 Children. Diabetes Care, 42(9): 1700-1707 (please also see this news story)
- Aldridge et al 2019, Causes of death among homeless people: a population-based cross-sectional study of linked hospitalisation and mortality data in England. Wellcome open research, 4(49): 1-17 (please also see this case study)
- Kuan et al 2019, A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health, 1(2): e63-e77 (please also see this blog)
- Wheater et al 2019, A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. BMC Medical Informatics and Decision Making, 19:184
- Liu et al 2019, A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health, 1(6): e271-e297
Health Data Research UK researchers develop innovative tools and technologies needed to unlock knowledge from complex and diverse health data, to address some of the biggest health challenges that...
Listed below are a range of HDR UK's open access outputs - including publications and algorithms - that deliver Health Data Research UK's mission to unite the UK’s health data to make...