kidos

Data mining tools

Data mining tools allow the extraction of relevant information from large amounts of data in an objective and partially automated manner. The relevance of the extracted information can further be measured by statistical methods, in order to support the final decision-making performed by clinicians.

For example, a typical problem when performing the follow-up of Cerebral Palsy patients is the high numbers of clinical information obtained from the patients, which typically include anamnesis, clinical testing and functional analysis data. This large amount of information is rarely entirely used in clinical practice because it cannot be presented in a sufficiently concise way to the clinician. In practice, only highly experienced senior clinicians and multidisciplinary teams have the means to exploit all available relevant information.

The ICT4Rehab project will integrate data mining tools in order to allow clinicians to process patient data available from the ICT4Rehab database and generate a standardized clinical report.

The data mining tool box will include comparison of a particular patient with some reference populations, decision-making support and enhanced visualisation systems.

Access to these tools will be possible thanks to user-friendly interfaces (see below for a first prototype). Already available in this prototype, the user selects clinically relevant parameters and the system maps the patients found in the database in a two-dimensional view allowing a visual comparison of patients’ characteristics. This tool will facilitate identification of similarities between a particular individual and several groups of patient types.

Data mining tools (first prototype)