Abstract: Systems and methods for evaluating clinical comparative efficacy using real-world health data are provided herein. The method includes obtaining health trajectories for members of a healthcare system. The method also includes identifying index events in the health trajectories, and segmenting the health trajectories with index events into sub-trajectories such that each sub-trajectory ends at a different index event. The method also includes generating a digital fingerprint for each sub-trajectory by either (i) generating a raw data vector, or (ii) applying representation learning to generate an embedding vector. The method also includes identifying sub-trajectories that are similar to a patient sub-trajectory by either (i) performing a stratified search, or (ii) performing a nearest-neighbor search on the embedding vectors of the members. The method also includes ranking treatment strategies for the patient based on outcomes of the treatment strategies, according to the identified similar sub-trajectories.

Abstract: A system and method for generating health care plans for patients are provided. The method includes extracting data items from age-agnostic medical claims data for a plurality of patients. The method also includes, for each health condition of a plurality of health conditions, aggregating one or more of the data items into one or more feature sets based at least on a data item type and a set of rules, and applying one or more machine learning models to the one or more feature sets to predict a respective risk score for the respective health condition for a respective patient. The method also includes computing a total health score based on the predicted respective risk score for each health condition for the respective patient. The method subsequently generates a report that indicates a health care plan for the respective patient based on the total health score in relation to a particular age group.

Abstract: The present application describes a system and method for implementing a causal recommender for personalized disease treatment selection using machine learning. The method includes obtaining health trajectories for patients. Each health trajectory includes sub-trajectories. Each sub-trajectory includes a treatment event and ends at a respective index event. The method further includes stratifying the sub-trajectories for each patient to form stratified patient segments. Each segment corresponds to a separate and distinct health condition and includes the sub-trajectories for patients that have the health condition. For each segment, the method includes performing pairwise causal inference analysis on one or more treatments to estimate average treatment effect (ATE) values, and performing network meta-analysis on the ATE values, thereby ranking the one or more treatments.

Abstract: An electronic vault includes an array of smart products for use in processing associated transactions. Because smart product transactions usually require that a value of currency always be stored on a particular smart product, the vault provides a collection of smart products storing digital currency values for use in processing a high volume of associated transactions.

Abstract: An electronic vault includes an array of smart products for use in processing associated transactions. Because smart product transactions usually require that a value of currency always be stored on a particular smart product, the vault provides a collection of smart products storing digital currency values for use in processing a high volume of associated transactions.

Abstract: The migration of a uranium ore body through geologic time may be determined by subjecting the carbonaceous material in host rock to vitrinite reflectance analysis. A substantial variation in the reflectance is an indication of anomalous coalification induced by radiation from uranium ore.