Abstract: An example device comprising: first clock divider circuitry to be coupled to a first clock; first counter circuitry configured to be coupled to the first clock divider circuitry, the first counter circuitry configured to increment based on the first clock and a second clock; second clock divider circuitry to be coupled to a third clock; second counter circuitry configured to be coupled to the second clock divider circuitry, the second counter circuitry configured to increment based on the third clock and the second clock; and comparison circuitry coupled to the first and second counter circuitry.

Abstract: An example device comprising: first clock divider circuitry to be coupled to a first clock; first counter circuitry configured to be coupled to the first clock divider circuitry, the first counter circuitry configured to increment based on the first clock and a second clock; second clock divider circuitry to be coupled to a third clock; second counter circuitry configured to be coupled to the second clock divider circuitry, the second counter circuitry configured to increment based on the third clock and the second clock; and comparison circuitry coupled to the first and second counter circuitry.

Abstract: A method (200), and a device (100) for determining onset of sepsis is provided. In one aspect, the method (200) includes receiving at least one medical dataset associated with the patient, wherein the medical dataset comprises a plurality of features. Further, the method (200) includes extracting one or more features from the medical dataset, wherein the one or more features comprises parameters associated with the patient which are indicators of sepsis. Additionally, the method (200) includes imputing at least one missing value in the medical dataset, wherein the missing value is associated with the features in the medical dataset. The method (200) also includes determining an output parameter indicative of the onset of sepsis in the patient by using the one or more features and the at least one missing value in the medical dataset as an input for one or more trained machine learning model (700).

Abstract: An example device comprising: first clock divider circuitry to be coupled to a first clock; first counter circuitry configured to be coupled to the first clock divider circuitry, the first counter circuitry configured to increment based on the first clock and a second clock; second clock divider circuitry to be coupled to a third clock; second counter circuitry configured to be coupled to the second clock divider circuitry, the second counter circuitry configured to increment based on the third clock and the second clock; and comparison circuitry coupled to the first and second counter circuitry.