Abstract: Aspects of embodiments pertain to a method for use in disease treatment management comprising: receiving data indicative of pump treatment parameters; analyzing physiological data during use of a pump; said physiological data being indicative of a physiological characteristic of the patient; analyzing the received pump treatment parameters data to thereby identify at least one patient-related treatment characteristic; creating data indicative of multiple daily injections (MDI) treatment parameters by automatically determining individualized insulin dosing injection parameters data based on said at least one patient-related treatment characteristic and said physiological data.

Abstract: The present invention discloses a monitoring system and method for use in monitoring diabetes treatment of a patient. The system comprises a control unit comprising a first processor module for processing measured data indicative of blood glucose level and generating first processed data indicative thereof, a second processor module comprising at least one fuzzy logic module; the second processor module receives input parameters corresponding to the measured data, the first processed data and a reference data including individualized patient's profile related data, individualized patient's treatment history related data and processes the received data to produce at least one qualitative output parameter indicative of patient's treatment parameters, such that the second processor module determines whether any of the treatment parameters is to be modified.

Abstract: Monitoring system and method for use with diabetic treatment management. The system comprises: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit comprising an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may comprise a processing unit comprising a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor comprising at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

Abstract: Monitoring system and method for use with diabetic treatment management. The system comprises: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit comprising an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may comprise a processing unit comprising a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor comprising at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

Abstract: Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

Abstract: Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

Abstract: The present invention discloses a monitoring system and method for use in monitoring diabetes treatment of a patient. The system comprises a control unit comprising a first processor module for processing measured data indicative of blood glucose level and generating first processed data indicative thereof, a second processor module comprising at least one fuzzy logic module; the second processor module receives input parameters corresponding to the measured data, the first processed data and a reference data including individualized patient's profile related data, to individualized patient's treatment history related data and processes the received data to produce at least one qualitative output parameter indicative of patient's treatment parameters, such that the second processor module determines whether any of the treatment parameters is to be modified.