There is an art and science to medicine they say, and the same thing goes for informatics. Data mining, natural language processing, and data normalization require a deep understanding of the science, but also creativity to find new solutions. The art of informatics is interdisciplinary. It draws on principles from computer science, biomedicine, decision science, and information science.
Informatics became popular in the 1990’s as researchers began to map the human genome and there was an increasing need to process large databases to find new solutions to improve healthcare delivery and treatment.
Neuroinformatics uses data mining and processing techniques to evaluate and process large datasets for new neurological insights. Datasets could include information on disease states such as Stroke, Parkinson’s disease, Alzheimer’s and Dementia, Multiple Sclerosis, to name a few. Neuroinformatics could include parsing neurological datasets based on risk of mortality, high cost of care, or eligibility for a clinical trial.
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