Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: A three-dimensional visualization of patient medical information is provided via a user interface of a user computing entity. Responsive to receiving user input, the user computing entity transmits a visualization request that comprises a patient indication and a desired visualization type indication. The user computing entity receives a three-dimensional visualization corresponding to the patient indication and the desired visualization type indication. The three-dimensional visualization is generated by mapping one or more medical codes each to a corresponding set of x, y, z coordinates. The three-dimensional visualization is displayed via the interactive user interface and comprises (a) a graphical representation of a human body corresponding to the x, y, z coordinates and (b) one or more points and/or zones. Each point and/or zone (i) is mapped to a location on the graphical representation of the human body via a body coordinate and (ii) corresponds to a medical code.

Abstract: A computing entity accesses instances of medical information corresponding to a population of patients and generates a plurality of medical sentences corresponding to the population by, for each patient of the population, generating one medical sentence corresponding to the patient and a timestamp associated with each instance such that the one medical sentence comprises one or more medical codes in a chronological order. The computing entity generates a vector dictionary comprising a plurality of multi-dimensional vectors based on a vector generation model trained using machine learning and the plurality of medical sentences with each multi-dimensional vector corresponding to a medical code. The computing entity generates a digital representation of a first patient of the population using an anagram model and the vector dictionary, determines a health state of the first patient based on the digital representation, and provides an output indicating the health state of the first patient.

Abstract: A three-dimensional visualization of patient medical information is provided via a user interface of a user computing entity. Responsive to receiving user input, the user computing entity transmits a visualization request that comprises a patient indication and a desired visualization type indication. The user computing entity receives a three-dimensional visualization corresponding to the patient indication and the desired visualization type indication. The three-dimensional visualization is generated by mapping one or more medical codes each to a corresponding set of x, y, z coordinates. The three-dimensional visualization is displayed via the interactive user interface and comprises (a) a graphical representation of a human body corresponding to the x, y, z coordinates and (b) one or more points and/or zones. Each point and/or zone (i) is mapped to a location on the graphical representation of the human body via a body coordinate and (ii) corresponds to a medical code.