Systems and methods for detecting worsening heart failure

A system for predicting a disease status of a patient, the system comprising:

• a detector circuit configured to be coupled to an ambulatory medical device implanted in or associated with the patient, where the detector circuit is further configured to:
• receive physiological information of the patient from a physiologic sensor of the ambulatory medical device;
• determine a risk indication associated with the disease status using the received physiological information;
• generate a first detection indication using a first combination of signal metrics associated with the received physiological information and respective weight factors;
• generate a second detection indication using a second combination of signal metrics associated with the received physiological information and respective weight factors,
• the signal metrics in the second combination being more sensitive to the disease status than the signal metrics in the first combination,
• wherein the first and second combinations of signal metrics and respective weight factors are different from each other and based at least in part on the determined risk indication;
• and apply an information fusion model to the first detection indication, the second detection indication, and the risk indication to generate a composite prediction of the disease status;
• and an output circuit configured to generate an alert about the composite prediction of the disease status to a user or a patient management process of the system;
• where the alert includes a display of the composite prediction and one or more of:
• the first combination of signal metrics, the second combination of signal metrics, the first detection indication, and the second detection indication.