Article

An adapted neural-fuzzy inference system model using preprocessed balance data to improve the predictive accuracy of warfarin maintenance dosing in patients after heart valve replacement

2021-02-23

Abstract excerpt

<title>Abstract</title> <p>Background Tailoring warfarin use poses a challenge for physicians and pharmacists due to its narrow therapeutic window and huge inter-individual variability. This study aimed to create an adapted neural-fuzzy inference system (ANFIS) model using preprocessed balance data to improve the predictive accuracy of warfarin maintenance dosing in Chinese patients undergoing heart valve replac...

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Literature Corpus work: 30340253-f82d-5993-97d8-d1d6bcc6965b
DOI: 10.21203/rs.3.rs-224969/v1

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An adapted neural-fuzzy inference system model using preprocessed balance data to improve the predictive accuracy of warfarin maintenance dosing in patients after heart valve replacementDOI 10.21203/rs.3.rs-224969/v1Read

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