Design and Development of Efficient Electronic Medical Data Search Engine with Data Privacy Using Blockchain Technology
Keywords:
Information Retrieval (IR), Electronic Medical Records(EMR) Search Engine, Gensim tokenizer, gestalt pattern matching, targeted projection pursuit technique, Tversky index, BlockchainAbstract
Information retrieval from the medical repositories within a time frame is challenging task due to the rapid growth of patient’s population. To address this challenge, a Gestalt Projection Tversky Censored Regressive Miyaguchi-Preneel cryptographic Blockchain (GPTCRMCB) is introduced. This GPTCRMCB method performs query preprocessing which includes tokenization and stop words removal. The targeted projection pursuit technique is used for extracting the keywords. Search engine calculates a relevance score by applying Tversky indexivecensored regression. Depend on similarity score value, relevant medical information is identifiedthroughsuperior accuracy. Finally, Miyaguchi-Preneel cryptographic hash Blockchain is employed for IR in a secure manner. Outcomes of GPTCRMCB achievedmaximum precision, recall, F1-score with minimal time than existing methods.
