View source for 18273481. LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM simplified abstract (NEC Corporation)

=LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Yuji Ohno of Tokyo (JP)|Yuji Ohno of Tokyo (JP)]][[Category:Yuji Ohno of Tokyo (JP)]]

==LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18273481 titled 'LEARNING DEVICE, DETERMINATION DEVICE, METHOD FOR GENERATING TRAINED MODEL, AND RECORDING MEDIUM

==Simplified Explanation==

The patent application describes a learning device that can determine whether a patient is in agitation by analyzing their biometric information and medical chart data.

* Acquisition unit for gathering biometric information and medical chart data of a patient
* Selection unit to choose relevant biometric information for determining agitation based on medical chart information
* Model generation unit to create an agitation determination model using selected biometric information of the patient

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### Potential Applications of this Technology
- Healthcare monitoring systems
- Mental health facilities
- Elderly care facilities

### Problems Solved by this Technology
- Early detection of agitation in patients
- Improved patient care and safety
- Personalized treatment plans based on agitation levels

### Benefits of this Technology
- Enhanced patient monitoring
- Timely intervention in case of agitation
- Customized care for patients based on their agitation levels

### Potential Commercial Applications of this Technology
#### Optimizing Patient Care with Agitation Determination Model

### Possible Prior Art
There are existing systems that monitor biometric data for patient health assessment, but the specific focus on agitation determination using a combination of biometric information and medical chart data may be novel.

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### Unanswered Questions

#### How does the learning device differentiate between different levels of agitation in patients?
The patent application does not provide details on how the device distinguishes between varying degrees of agitation in patients.

#### What are the specific biometric markers used to determine agitation in patients?
The patent application does not specify the exact biometric indicators that are analyzed to determine agitation in patients.


==Original Abstract Submitted==

This learning device comprises: an acquisition unit for acquiring biometric information of a patient and medical chart information of the patient; a selection unit for selecting, on the basis of the medical chart information, the biometric information of the patient that allows the determination of whether the patient is in agitation; and a model generation unit for generating an agitation determination model for determining whether a subject patient is in agitation, by using the selected biometric information and on the basis of the biometric information of the subject patient.



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