Zarbin, M;
Lee, A;
Keane, P;
Chiang, M;
(2021)
Data science in translational vision science and technology.
Translational Vision Science and Technology
, 10
(8)
, Article 20. 10.1167/tvst.10.8.20.
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Abstract
What is Data Science? Data science involves the use of a variety of quantitative methods (e.g. mathematics, statistics, computer science) to extract useful information from structured and unstructured data.1 Typically, data scientists undertake exploratory data analysis by deploying machine learning principles and algorithms to identify patterns in rawdata with the purpose of understanding processes and predicting outcomes. These analytic approaches include predictive causal analytics, prescriptive analytics, and machine learning for pattern discovery and outcome prediction, and they require a large volume and variety of data (i.e. structured as well as unstructured data).
| Type: | Article |
|---|---|
| Title: | Data science in translational vision science and technology |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1167/tvst.10.8.20 |
| Publisher version: | https://doi.org/10.1167/tvst.10.8.20 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. See: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10133132 |
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