Open Data and Machine Learning - Prof Bill Buchanan
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Presented at Conference on Data in Health and Social Care
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Open Data and Machine Learning - Prof Bill Buchanan
- 1. Creating evidence from open source data: an in-depth analysis of health and social care in Scotland Prof Bill Buchanan, The Cyber Academy http://asecuritysite.com/bigdata Twitter: billatnapier Objectives: - How to turn data into evidence. - Learn something new.
- 3. Vision [Link] Open Source Data
- 4. London
- 5. London Demographics Age leave school - 16 or under v Greater than 24 [Link]
- 6. London Demographics 5 Fruit and veg and health children (Aged 4-5) [Link]
- 7. London Demographics Free school meals [Link]
- 8. London Demographics Overweight to underweight … Bexley to Harrow [Link]
- 9. London Demographics Obese Children … Hexham to Richmond upon Thames [Link] % Obese Children (Year 6) = 1.509 * % Obese Children (Receiption) + 7.313
- 10. London Demographics Obese Children … Southwark to Richmond upon Thames [Link]
- 11. London Demographics Excess weight … East Walworth to Hillside [Link] [Twitter]
- 12. London (A Lonely World)
- 13. London Demographics Loneliness and Low- incomes … [Link] % of Children in low- income families = -0.583 * Loneliness Rank in London + 33.02
- 14. London Demographics Loneliness and Labour … [Link]
- 15. Scotland
- 16. Education [Link]
- 17. Scotland - Regional Analysis More than 5 Highers and Free School Meals [Link][Link]
- 18. Scotland - Regional Analysis More than 3 Highers and Free School Meals [Link][Link]
- 19. Scotland - Regional Analysis More than 1/5 Highers and Free School Meals [Link][Link]
- 20. Scotland - Regional Analysis More than 1 Highers and Free School Meals [Link][Link]
- 21. Scotland - Regional Analysis More than 5 Highers [Link][Link]
- 23. Alcohol [Link]
- 24. Scotland - Regional Analysis Weekly drinkers and common assult [Link][Link]
- 25. Scotland - Regional Analysis Breach of peace, common assault and rowdy behave. [Link][Link]
- 26. Smoking [Link]
- 27. Scotland - Regional Analysis COPD and Lung cancer deaths [Link][Link][Link]
- 28. Scotland - Regional Analysis Smoking adults, 65+, 40-64 [Link][Link][Link]
- 29. Scotland - Regional Analysis Lung cancer, COPD, admissions [Link][Link][Link]
- 30. Scotland - Regional Analysis Tobacco retailers and smoking? [Link][Link][Link]
- 32. Scotland - Regional Analysis Mental Health [Link][Link]
- 33. Drugs [Link]
- 34. Scotland - Regional Analysis Drugs [Link][Link]
- 35. Scotland - Regional Analysis Drugs [Link][Link]
- 36. SIDM 2016
- 37. Scotland - SIMD 2016 Employment and SIMD rank [Link][Link]
- 38. Scotland - SIMD 2016 Housing and Health [Link][Link]
- 39. Scotland - SIMD 2016 Health and Income [Link][Link]
- 40. Scotland - SIMD 2016 Employment and Crime [Link][Link]
- 41. Scotland - SIMD 2016 Employment and Crime [Link][Link]
- 42. Scotland - SIMD 2016 Health and Education [Link][Link]
- 43. Scotland - SIMD 2016 Attainment and Attendance [Link][Link]
- 44. Scotland - SIMD 2016 Income and Employment deprived [Link][Link]
- 45. Edinburgh - SIMD 2016 No CH and Overcrowding [Link][Link]
- 46. Edinburgh
- 47. Edinburgh - SIMD 2016 Income and Health [Link][Link]
- 48. Edinburgh - SIMD 2016 Employment and Education [Link][Link]
- 49. Edinburgh - SIMD 2016 Crime and Housing [Link][Link]
- 50. Edinburgh - SIMD 2016 Working age and population [Link][Link]
- 51. Edinburgh - SIMD 2016 Housing and Health [Link][Link]
- 52. Edinburgh - SIMD 2016 Health and Education [Link][Link]
- 53. Edinburgh - SIMD 2016 Pupil attendance and No qualifications [Link][Link]
- 54. Edinburgh - SIMD 2016 Pupil attendance and No qualifications [Link][Link]
- 55. Edinburgh - SIMD 2016 Attainment and Illness [Link][Link]
- 56. Edinburgh - SIMD 2016 Hospital for drugs and alcohol [Link][Link]
- 57. Edinburgh - SIMD 2016 Employment and Income Deprived [Link][Link]
- 58. Edinburgh - SIMD 2016 Health and Education [Link][Link]
- 59. Edinburgh - SIMD 2016 Health and Employment [Link][Link]
- 60. Glasgow
- 61. Glasgow - SIMD 2016 Health and Employment [Link][Link]
- 62. Glasgow - SIMD 2016 Health and Education [Link][Link]
- 63. Glasgow - SIMD 2016 Health and Housing [Link][Link]
- 64. Glasgow - SIMD 2016 Employment and Income Deprived [Link][Link]
- 70. Machine Learning
- 73. Male Life Expectancy [Link] • Deaths all ages, Deaths from alcohol conditions, Working age population employment deprived • Deaths from alcohol conditions, Crime rate, Population within 500 metres of a derelict site • 96.7% success People claiming pension credits (aged 60+) 21 Deaths all ages 12 Female life expectancy 11 Working age population employment deprived 8 Crime rate 8
- 74. Machine Learning [Link] • Deaths all ages, New cancer registrations, Patients hospitalised with asthma • Deaths all ages, New cancer registrations, Patients with emergency hospitalisations • Deaths all ages, New cancer registrations, Adults incapacity benefit/severe disability allow/employment allow • Deaths all ages, New cancer registrations, Population within 500 metres of a derelict site • Deaths all ages, Patients hospitalised with asthma, Average tariff score of all pupils on S4 roll • Early deaths from cancer (<75), Smoking prevalence (adults 16+), Bowel screening uptake • Smoking prevalence (adults 16+)Working age adults with low/no educational qual Bowel screening uptake Deaths all ages 35 Male life expectancy 22 All mortality among 15-44 year olds 20 Patients hospitalised with coronary heart disease 6 Child obesity in primary 4
- 75. Deaths All Ages [Link] Estimated smoking attributable deaths 17 Male life expectancy 16 Female life expectancy 16 Adults rating neighbourhood as a very good place to live 14 Child dental health in primary 1 11
- 76. All mortality among 15-44 year olds [Link] Child obesity in primary 37 Early deaths from CHD (<75) 28 Male life expectancy 7 Working age population claiming Out of Work benefits 7 Adults incapacity benefit/severe disability allow/employment allow 6 Prisoner population 6
- 77. Early deaths from CHD (<75) [Link] All mortality among 15-44 year olds 47 Female life expectancy 12 Estimated smoking attributable deaths 12 Deaths all ages 9 Population income deprived 8 Deaths all ages 44 Early deaths from CHD (<75) 16 New cancer registrations 15 Smoking prevalence (adults 16+) 7 Active travel to work 6 Estimated smoking attributable deaths
- 78. Smoking prevalence (adults 16+) [Link] Estimated smoking attributable deaths 14 Child dental health in primary 1 13 Patients hospitalised with (COPD) 12 Child dental health in primary 7 11 Patients (65+) with multiple emergency hospitalisations 7 Male life expectancy 32 Patients (65+) with multiple emergency hospitalisations Patients hospitalised with asthma 7 Drug crimes recorded 7 Low birth weight 5 Alcohol-related hospital stays
- 79. Factors for Top 50 [Link]
- 80. Factors [Link] • Deaths all ages 134 • Male life expectancy 94 • All mortality among 15-44 year olds 85 • Female life expectancy 62 • Estimated smoking attributable deaths 58 • Early deaths from CHD (<75) 53 • Alcohol-related hospital stays 51 • Child obesity in primary48 • People claiming pension credits (aged 60+) 38 • New cancer registrations 35 • Child dental health in primary 1 34 • Patients (65+) with multiple emergency hospitalisations 32 • Adults incapacity benefit/severe disability allow/employment allow 31 • Working age population claiming Out of Work benefits 29 • Population income deprived 27 • Working age population employment deprived 27 • Patients hospitalised with asthma 24 • Child dental health in primary 23 • Secondary school attendance 22 • Drug crimes recorded 22
- 81. People who do not feel in control over their lives struggle because the system does things to them – it doesn't work with them and help them create 'wellness' for themselves … when things happen that alienate people, they lose that sense of control and a whole range of biological, as well as psychological, things occur. Conclusions
- 82. Creating evidence from open source data: an in-depth analysis of health and social care in Scotland Prof Bill Buchanan, The Cyber Academy http://asecuritysite.com/bigdata Twitter: billatnapier Objectives: - How to turn data into evidence. - Learn something new.