System for supporting decision-making regarding assessment using a machine learning-trained model, assessment support method, and recording medium

An assessment support method that allows at least one computer to execute:

• generating a first plurality of assessment vectors in a common multi-dimensional assessment space from first patient information in first nursing records of a plurality of first patients by applying a word embedding model to assessment text contained in first nursing records associated with the first patient information;
• training a prediction model based on a training set comprising the first plurality of assessment vectors and the first patient information, wherein the prediction model is configured to receive patient information about a target patient as an input and output a predicted assessment vector of the target patient wherein the training comprises adjusting parameter values of the prediction model to reduce a difference between:
• a plurality of predicted assessment vectors output by the prediction model based on the first patient information being input into the prediction model, and
• corresponding vectors from among the first plurality of assessment vectors;
• inputting the patient information about the target patient into the trained prediction model, in response to operation information received from a terminal, to obtain the predicted assessment vector of the target patient from the trained prediction model;
• calculating a plurality of similarity scores between the predicted assessment vector of the target patient and a second plurality of assessment vectors corresponding to a plurality of second patients using at least one of a cosine similarity or a Minkowski-distance-based metric;
• identifying one or more patients from among the plurality of second patients having highest similarity scores, by applying a threshold to the plurality of similarity scores;
• and
• retrieving assessment information associated with the identified one or more patients from a database and transmit the retrieved assessment information to the terminal to cause the terminal to display the retrieved assessment information on a screen for creating an assessment of the target patient, wherein the retrieved assessment information comprises at least one of:
• subjective information reported by the one or more patients, objective information recorded with respect to the one or more patients, or a nursing plan associated with the one or more patients.

A non-transitory recording medium on which a computer program is recorded, the computer program allowing at least one computer to execute:

• generating a first plurality of assessment vectors from first patient information in first nursing records of a plurality of first patients by applying a word embedding model to the first patient information;
• training a prediction model based on a training set comprising the first plurality of assessment vectors and the first patient information, wherein the prediction model is configured to receive patient information about a target patient as an input and output a predicted assessment vector of the target patient wherein the training comprises adjusting parameter values of the prediction model to reduce a difference between:
• a plurality of predicted assessment vectors output by the prediction model based on the first patient information being input into the prediction model, and
• corresponding vectors from among the first plurality of assessment vectors;
• inputting the patient information about the target patient into the trained prediction model, in response to operation information received from a terminal, to obtain the predicted assessment vector of the target patient from the trained prediction model;
• calculating a plurality of similarity scores between the predicted assessment vector of the target patient and a second plurality of assessment vectors corresponding to a plurality of second patients;
• identifying one or more patients from among the plurality of second patients having highest similarity scores, based on the plurality of similarity scores;
• and
• retrieving assessment information associated with the identified one or more patients from a database and transmit the retrieved assessment information to the terminal to cause the terminal to display the retrieved assessment information on a screen for creating an assessment of the target patient, wherein the retrieved assessment information comprises at least one of:
• subjective information reported by the one or more patients, objective information recorded with respect to the one or more patients, or a nursing plan associated with the one or more patients.