System

A system comprising:

• circuitry configured to:
• receive, via a communication interface coupled to a packet-switched network, input data from a terminal device, the input data comprising a plurality of data fields including at least a cause data field, a symptom data field, and a temporal data field;
• convert the input data into structured feature data by tokenizing text portions of the input data, mapping tokens to numerical indices using a stored vocabulary, computing a numerical vector representation, converting the temporal data field into a standardized numerical duration value, and concatenating the numerical vector representation and the standardized numerical duration value;
• input the structured feature data into a machine learning classification model to obtain category information and a severity indicator;
• compute an evaluation index as a weighted combination of the category information, the severity indicator, and the standardized numerical duration value using predetermined weighting parameters;
• generate a prompt data sequence by embedding the category information, the severity indicator, and the evaluation index into a natural language template, the prompt data sequence being configured to instruct a generative neural network model comprising a transformer-based architecture to perform an inference operation;
• input the prompt data sequence into the generative neural network model and obtain inference result data comprising explanation text data and recommended action text data;
• and
• transmit, via the communication interface, response data comprising the evaluation index and the inference result data to the terminal device for presentation on a display of the terminal device.

A method comprising:

• receiving, via a communication interface coupled to a packet-switched network, input data from a terminal device, the input data comprising a plurality of data fields;
• converting the input data into structured feature data by applying a preprocessing operation to the plurality of data fields;
• generating a prompt data sequence based on the structured feature data, the prompt data sequence being configured to instruct a generative neural network model to perform an inference operation;
• inputting the prompt data sequence into the generative neural network model and obtaining inference result data from the generative neural network model;
• computing an evaluation index based on at least the inference result data and the structured feature data;
• and
• transmitting, via the communication interface, response data comprising the evaluation index and at least a portion of the inference result data to the terminal device for presentation on a display of the terminal device.