Title |
Big data are coming to psychiatry: a general introduction
|
---|---|
Published in |
International Journal of Bipolar Disorders, September 2015
|
DOI | 10.1186/s40345-015-0038-9 |
Pubmed ID | |
Authors |
Scott Monteith, Tasha Glenn, John Geddes, Michael Bauer |
Abstract |
Big data are coming to the study of bipolar disorder and all of psychiatry. Data are coming from providers and payers (including EMR, imaging, insurance claims and pharmacy data), from omics (genomic, proteomic, and metabolomic data), and from patients and non-providers (data from smart phone and Internet activities, sensors and monitoring tools). Analysis of the big data will provide unprecedented opportunities for exploration, descriptive observation, hypothesis generation, and prediction, and the results of big data studies will be incorporated into clinical practice. Technical challenges remain in the quality, analysis and management of big data. This paper discusses some of the fundamental opportunities and challenges of big data for psychiatry. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 42% |
Australia | 1 | 8% |
Mexico | 1 | 8% |
United States | 1 | 8% |
Japan | 1 | 8% |
Unknown | 3 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 75% |
Scientists | 3 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | <1% |
Norway | 1 | <1% |
United Kingdom | 1 | <1% |
Argentina | 1 | <1% |
Spain | 1 | <1% |
Japan | 1 | <1% |
United States | 1 | <1% |
Unknown | 160 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 21% |
Researcher | 32 | 19% |
Student > Master | 15 | 9% |
Student > Bachelor | 15 | 9% |
Student > Doctoral Student | 10 | 6% |
Other | 34 | 20% |
Unknown | 26 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 15% |
Psychology | 21 | 13% |
Computer Science | 21 | 13% |
Neuroscience | 13 | 8% |
Agricultural and Biological Sciences | 8 | 5% |
Other | 45 | 27% |
Unknown | 34 | 20% |