Interactive probability based expert system for diagnosis of pacemaker related cardiac problems
First Claim
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1. A cardiac diagnostic apparatus for diagnosing a patient comprising:
- memory means for storing a set of rules, each rule defining a predetermined relation for each of a plurality of cardiac symptoms of patients with a corresponding etiology and a statistical probability relating each of said cardiac symptom to one of said corresponding etiologies;
means for receiving data descriptive of a patient'"'"'s specific cardiac symptoms;
means for identifying rules from said set which are related to said specific cardiac symptoms;
means for automatically generating a prognosis for said specific cardiac symptoms based on said statistical probabilities, said prognosis identifying at least one etiology having a preselected statistical probability; and
means for displaying said prognosis.
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Abstract
A diagnostic device for providing a prognosis of patient with an implanted cardiac device includes a data bank for storing statistical data relating various symptoms characterizing cardiac problems and associated complications. The device further includes an input device so that a clinician can enter patient specific data including his symptoms. A set of rules stored in a memory are used to provide a diagnosis for the patient based on the statistical data. Preferably the diagnostic device is incorporated in a programmer for a pacemaker or other implantable cardiac device.
188 Citations
11 Claims
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1. A cardiac diagnostic apparatus for diagnosing a patient comprising:
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memory means for storing a set of rules, each rule defining a predetermined relation for each of a plurality of cardiac symptoms of patients with a corresponding etiology and a statistical probability relating each of said cardiac symptom to one of said corresponding etiologies; means for receiving data descriptive of a patient'"'"'s specific cardiac symptoms; means for identifying rules from said set which are related to said specific cardiac symptoms; means for automatically generating a prognosis for said specific cardiac symptoms based on said statistical probabilities, said prognosis identifying at least one etiology having a preselected statistical probability; and means for displaying said prognosis. - View Dependent Claims (2)
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3. A programmer for programming a cardiac implant device, said programmer comprising:
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first memory means for storing information related to programming operational parameters of a cardiac implant device; second memory means for storing a set of diagnostic rules relating a predetermined plurality of cardiac symptoms of cardiac patients with corresponding etiologies, each rule defining a predetermined relation for each of a plurality of cardiac symptoms of patients with a corresponding etiology and a statistical probability relating each of said cardiac symptom to one of said corresponding etiologies; data input means for inputting patient specific data into said programmer, including at least one cardiac symptom; data communication means for exchanging data with a cardiac implant device, said data including programming data from and to said first memory means for programming said cardiac implant device; processing means for processing the patient specific data and for automatically generating a prognosis based on at least said one cardiac symptoms and said rules to generate a prognosis, said prognosis identifying at least one etiology based on said at least one symptom and the related statistical probability; and output means for generating an output indicative of said prognosis. - View Dependent Claims (4, 5, 6, 7, 8, 9)
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10. A method of generating a prognosis for a patient having cardiac symptoms, comprising the steps:
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providing a set of rules relating each cardiac symptom with a corresponding cardiac etiology, each rule being characterized by a corresponding probability derived from predetermined statistical information; receiving at least one symptom specific to a particular patient; identifying particular rules of said set related with said one symptom; analyzing the probabilities associated with said particular rules; and generating a prognosis based on said analysis to define an etiology causing said one symptom. - View Dependent Claims (11)
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Specification