The application provides a multi-source Parkinson's
disease database integration method based on LEDD-UPDRS
composite index alignment, and is applied to the technical field of
data processing. In view of the heterogeneous problems of multi-source Parkinson's
disease databases, the application integrates heterogeneous data of PPMI, PDBP and local queues, disassembles characteristics according to four
modes of
heredity and clinic, introduces a standardized term
library and a BERT-BiLSTM-CRF model unified term adjusted in combination with medical corpus, generates a cross-
library feature table; a storage architecture is constructed based on FlashROM mode to realize data storage and retrieval; a composite
observation system is built with LEDD and UPDRS-III, consistency is verified by
multiple methods, data is standardized,
missing data is filled in combination with
multiple models to generate an integrated
data set; a double prediction model is built relying on the
data set, and the advantages of the data are realized by a Cohen's d value
verification method; finally, cross-
library joint analysis is carried out,
phenotype-
genotype correlation modeling and
causal inference are completed, and data support is provided for Parkinson's
disease research and clinical prediction.