TY - JOUR
T1 - Data science for mental health: a UK perspective on a global challenge
AU - McIntosh, Andrew M
AU - Stewart, Robert
AU - John, Ann
AU - Smith, Daniel
AU - Davis, Katrina
AU - Sudlow, Cathie
AU - Corvin, Aiden
AU - Nicodemus, Kristin K
AU - Kingdon, David
AU - Hassan, Lamiece
AU - Hotopf, Matthew
AU - Lawrie, Stephen M
AU - Russ, Tom
AU - Geddes, John R
AU - Wolpert, Miranda
AU - Wölbert, Eva
AU - Porteous, David J
PY - 2016/10
Y1 - 2016/10
N2 - Data science uses computer science and statistics to extract new knowledge from high-dimensional datasets (ie, those with many different variables and data types). Mental health research, diagnosis, and treatment could benefit from data science that uses cohort studies, genomics, and routine health-care and administrative data. The UK is well placed to trial these approaches through robust NHS-linked data science projects, such as the UK Biobank, Generation Scotland, and the Clinical Record Interactive Search (CRIS) programme. Data science has great potential as a low-cost, high-return catalyst for improved mental health recognition, understanding, support, and outcomes. Lessons learnt from such studies could have global implications.
AB - Data science uses computer science and statistics to extract new knowledge from high-dimensional datasets (ie, those with many different variables and data types). Mental health research, diagnosis, and treatment could benefit from data science that uses cohort studies, genomics, and routine health-care and administrative data. The UK is well placed to trial these approaches through robust NHS-linked data science projects, such as the UK Biobank, Generation Scotland, and the Clinical Record Interactive Search (CRIS) programme. Data science has great potential as a low-cost, high-return catalyst for improved mental health recognition, understanding, support, and outcomes. Lessons learnt from such studies could have global implications.
U2 - 10.1016/S2215-0366(16)30089-X
DO - 10.1016/S2215-0366(16)30089-X
M3 - Article
SN - 2215-0366
VL - 3
JO - The Lancet Psychiatry
JF - The Lancet Psychiatry
IS - 10
ER -