TheraDoc mines patient data for trends in infections and suggests courses of action for particular patients, while Cereplex searches for unusual infection patterns and identifies patients requiring changes in therapy and MedMined uses data-mining algorithms to tease out unusual patterns and correlations from patient records and lab tests.
The genomic medicine of the future will rely on accurately mining patient sequence data to identify disease, wellness and actionable genes [ 6].
By mining its patient data, Kaiser, for example, was first to identify a link between the pain-relief drug Vioxx and a higher risk of heart failure, well before Merck pulled the drug off the market in 2004.
Nowadays, as medical care is getting more and more complex and personalized, the recent advances and uses of information technologies enable capturing, processing, storing, and mining patient-level data in order to quickly extract meaningful clinical information and medical knowledge for clinical decision making and to further personalize health care.
Related issues involve theoretical and technical problems involving uncertainty management, missing data and missing values, and matching appropriate data mining techniques to patient data sets.
Berg mines patient biological data using AI to determine why some people survive diseases, and then applies this insight to improve current therapies or create new ones.
Incorporating ontologies directly in the electronic health record will lead to novel methods for patient classification and stratification, and the analysis and mining of large-scale patient data.
For Kaushal, Humedica is an example of government policy, in the form of meaningful use requirements for electronic health records, creating opportunities to mine the flood of patient data.
Zhang et al. [17] develop a clinical support system using data stream mining with the goal of analyzing patient data in order to make real-time prognosis and diagnosis.
As regards data mining, patient-related variables like diagnosis, sex and birth date can be combined with data information in order to compose specific queries.
