Method and system to safely guide interventions in procedures the substrate whereof is neuronal plasticity

A method for safely guiding interventions in processes the substrate of which is the neuronal plasticity, comprising generating and using a database with information regarding a plurality of users at least in relation to interventions to be performed or to which to be subjected and to the users responses to the performance of said interventions, wherein said method comprises automatically performing the following steps:

• a) generating at least two groups of candidate predictions related to possible interventions, performing at least two steps of classification based on at least heuristic rules on the information of said database considered as a constituent of some basic training data,
• b) generating from at least said two groups of candidate predictions a set of training data in meta-level, and
• c) performing a meta-classification based on at least heuristic rules on said set of training data in meta-level, and
• d) determining a group of optimum predictions based on the results of said step c), selecting one of said groups of candidate predictions obtained in step a), or combining them to one another.

A system for safely guiding interventions in processes the substrate of which is the neuronal plasticity, comprising:

• a central computer server (5) with access to a database (6) with information regarding a plurality of users at least in relation to interventions to which to be subjected or to be performed and to the user responses to the performance of said interventions,
• a plurality of computerized user computer terminals (7a, 7b, 7c) in two-way communication with said central computer server (5) for receiving, each of them, information in relation to said interventions and for sending the result of performing said interventions to the central computer server (5), and
• at least one therapist computer terminal (8) in remote communication with said central computer server (5) for requesting the prediction in relation to at least one intervention for a determined user, for receiving said requested prediction and for confirming that information in relation to said intervention, in relation to which said prediction has been required, has been sent by the server to the terminal of said determined user (7a),
• wherein said system is suitable for applying a method for safely guiding interventions in processes the substrate of which is the neuronal plasticity, comprising generating and using database with information regarding a plurality of users at least in relation to interventions to be performed or to which to be subjected and to the users responses to the performance of said interventions, wherein said method comprises automatically performing the following steps:
• a) generating at least two groups of candidate predictions related to possible interventions, performing at least two steps of classification based on at least heuristic rules on the information of said database considered as a constituent of some basic training data,
• b) generating from at least said two groups of candidate predictions a set of training data in meta-level, and
• c) performing a meta-classification based on at least heuristic rules on said set of training data in meta-level, and
• d) determining a group of optimum predictions based on the results of said step c), selecting one of said groups of candidate predictions obtained in step a), or combining them to one another.