Blood testing apparatus and control method thereof
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Publication Number
US-11209445-B2
Publication Date
2021-12-28
Expiration Date
Abstract
A blood testing apparatus includes an analyzer configured to analyze blood components of an animal that are included in a test medium; an output device configured to display analysis results of the blood components; and a controller configured to determine a species of the animal based on at least one from among types of the blood components and the analysis results of the blood components and control the output device to display the determined species of the animal.
Core Innovation
The invention relates to a blood testing apparatus that analyzes blood components of an animal in a test medium. An input device receives input information identifying an animal from a user, an analyzer analyzes the blood components based on the input information, an output device displays analysis results, and a controller displays a visual indication representing a determined species of the animal.
The controller determines the species of the animal based on at least one from among types of the blood components and the analysis results of the blood components. The controller compares the determined species with a species of the animal included in the input information input by the user, and outputs an interface prompting the user to change the input information of the species based on the comparison result. The determined species is obtained through a learning model obtained through machine learning using a neural network, or through reiterative clustering analysis results not based on predetermined reference values.
The invention further supports species confirmation using identification media included in the test medium, where the confirmation includes at least one of a barcode, a Quick Response (QR) code, a radio frequency identification (RFID) tag, or a Universal Serial Bus (USB) chip. For species determination, the apparatus can extract raw data of the blood components and execute a first analysis performed by the controller, including at least one of a decision tree of learning models using plural blood components and reiterative clustering analysis results not based on predetermined reference values.
Claims Coverage
The independent claims cover three related aspects of species identification in a blood testing apparatus: machine-learning based species determination with a user-input comparison and prompting interface, reiterative clustering analysis results not based on predetermined reference values with a user-input comparison and prompting interface, and a control method that performs species determination via decision-tree learning models and/or reiterative clustering, displays analysis results and a visual species indication, and includes a user-input comparison with prompting.
Machine-learning-based animal species determination with user-input comparison prompting
A blood testing apparatus having an input device to receive input information identifying an animal from a user; an analyzer to analyze blood components in a test medium; an output device to display analysis results; and a controller to determine a species based on at least one from among types of the blood components and the analysis results, control the output device to display a visual indication representing the determined species, compare the determined species with a species included in the input information, and output an interface prompting the user to change the species input based on a comparison result, where the controller determines the species through a learning model obtained through machine learning using a neural network for the types of the blood components and the analysis results.
Reiterative clustering analysis without predetermined reference values with user-input comparison prompting
A blood testing apparatus having an input device to receive input information identifying an animal from a user; an analyzer to analyze blood components in a test medium; an output device to display analysis results; and a controller to determine a species based on at least one from among types of the blood components and the analysis results and control the output device to display a visual indication representing the determined species, where the controller compares the determined species with a species included in the input information and outputs an interface prompting the user to change the input information based on a comparison result, and where the controller determines the species through reiterative clustering analysis results which are not based on predetermined reference values.
Control method with first analysis using decision tree and/or reference-free reiterative clustering plus user-input comparison prompting
A control method of a blood testing apparatus comprising receiving an input information identifying an animal from a user; analyzing blood components of an animal based on the input information with the blood components included in a test medium; determining a species of the animal based on at least one from among types of the blood components and analysis results; displaying the analysis results and a visual indication representing the determined species; comparing the determined species with a species included in the input information and outputting an interface prompting the user to change the input information based on a comparison result; and determining the species by extracting raw data of the blood components, executing a first analysis based on the species of the animal included in the input information, and determining the species based on analysis results of the first analysis, where the first analysis is performed by a controller and comprises at least one of a decision tree of learning models using plural blood components and reiterative clustering analysis results which are not based on predetermined reference values.
Across the independent claims, species identification is performed from blood-component types and analysis results using either a neural-network learning model or reiterative clustering results without predetermined reference values. Each claim further includes a comparison between the determined species and the user-provided species, followed by outputting an interface prompting the user to change the species input when the values differ.
Stated Advantages
Prompts the user to change the input information of the species of the animal based on a comparison result, to address mismatch between determined species and user input.
Documented Applications
Blood testing of an animal to analyze blood components in a test medium and determine the animal species with a visual indication and a user-input consistency prompting interface.
Species confirmation and determination using identification media included in the test medium, including barcode, Quick Response (QR) code, RFID tag, or USB chip.
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