Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A ball pin connector includes a sleeve-like housing having a cavity with an elastic ball bearing. The elastic ball bearing is axially moveable between a lifted up position, and a lower locking position. Cooperating surface structures are provided on an inner wall of the housing and on an outer wall of the elastic ball bearing as a plurality of projecting surface structures arranged circumferentially distributed with gaps in between such that in a first rotational state of the elastic ball bearing within the housing the projecting surface structures are aligned to be able to come into engagement such that the elastic ball bearing is held in the lifted up position, and such that in a second rotational state of the elastic ball bearing the projecting surface structures of the elastic ball bearing are aligned with gaps of the projecting surface structures of the housing.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order.

Abstract: A ball joint connector for connecting an elongated element to a ball pin includes a socket having a cylindrical cavity for receiving a ball of a ball pin with an opening at one end and a dome-shaped end wall at the opposite end, and a clip disposed at least partially within the cavity and dimensioned to encompass more than the upper hemisphere of the ball, the clip being moveable between a locking position and a retracted assembly/disassembly position characterized in that the clip is arranged to extend, in its locking position, in abutment with the surface of a ball received in the cavity on opposing sides of the ball on each side over a portion of the upper hemisphere and with its lower end portion over an adjoining surface portion of the lower hemisphere.

Abstract: A ball pin connector includes a sleeve-like housing having a cavity with an elastic ball bearing. The elastic ball bearing is axially moveable between a lifted up position, and a lower locking position. Cooperating surface structures are provided on an inner wall of the housing and on an outer wall of the elastic ball bearing as a plurality of projecting surface structures arranged circumferentially distributed with gaps in between such that in a first rotational state of the elastic ball bearing within the housing the projecting surface structures are aligned to be able to come into engagement such that the elastic ball bearing is held in the lifted up position, and such that in a second rotational state of the elastic ball bearing the projecting surface structures of the elastic ball bearing are aligned with gaps of the projecting surface structures of the housing.

Abstract: The present invention is directed to a ball joint connector for connecting an elongated element to a ball pin, comprising a socket having a cylindrical cavity for receiving a ball of a ball pin with an opening at one end and a dome-shaped end wall at the opposite end, and a clip disposed at least partially within the cavity and dimensioned to encompass more than the upper hemisphere of the ball, said clip being moveable between a locking position and a retracted assembly/disassembly position characterized in that the clip is arranged to extend, in its locking position, in abutment with the surface of a ball received in the cavity on opposing sides of the ball on each side over a portion of the upper hemisphere and with its lower end portion over an adjoining surface portion of the lower hemisphere.