The invention relates to the technical field of
machine learning, and discloses a
thyroid disease risk prediction method and
system based on
machine learning. The method comprises the steps of collecting
medical record data of a
thyroid disease patient, establishing a classification model based on the
medical record data, and outputting a
thyroid disease type corresponding to the
medical record data; establishing a word vector model and a
machine learning model, extracting a first feature quantity and a second feature quantity from the medical
record data, screening out a first key feature and a second key feature of each
thyroid disease from the first feature quantity and the second feature quantity, fusing the first key feature and the second key feature to obtain a comprehensive
feature vector, and establishing a risk prediction model; acquiring medical
record data of the current
observation object, inputting the medical
record data into the risk prediction model, and predicting and generating a
thyroid disease risk level and a disease type of the current
observation object based on the medical record data; if the
risk level is a
medium risk or a high risk, an optimal adjustment vector is generated, health adjustment suggestions are obtained based on the optimal adjustment vector, and the prediction accuracy of the
thyroid disease risk is improved.