Predictive healthcare systems utilize the signal produced by physiological and, in some embodiments, environmental sensors to infer, computationally, a physiological parameter of the patient. The physiological sensors may include a vibro-acoustic sensor in contact with a patient over at least the frequency band 0.001 Hz to 40 kHz and a bio-electric sensor. The physiological parameter may be the magnitude or existence of an internal process, such as blood flow; the presence of a biomarker; or the existence or likelihood of a disease. In some embodiments, the computational inference is based on additional data such as the patient's position and orientation and/or historical health information of the patient.
SYSTEMS AND METHODS FOR MEDICAL DIAGNOSIS AND BIOMARKER IDENTIFICATION USING PHYSIOLOGICAL SENSORS AND MACHINE LEARNING