http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114974595-A

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-20
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filingDate 2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b83ea9d7b7d48e185ae0910afdec9cfc
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publicationDate 2022-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114974595-A
titleOfInvention A predictive model and method for mucosal healing in patients with Crohn's disease
abstract The invention discloses a model and method for predicting mucosal healing of patients with Crohn's disease. The multi-factor binary logistic regression analysis method is used to screen out the key influencing factors of mucosal healing of patients with Crohn's disease, and a highly reliable clinical model is constructed. The mucosal healing prediction model and method for patients with Crohn's disease are used to predict the mucosal healing to evaluate the possibility of patients achieving mucosal healing after treatment. The prediction method and model can help specialists to predict Crohn's disease simply and quickly in daily clinical practice. The possibility of patients reaching the standard treatment goals, adjust the treatment strategy in time, optimize the treatment plan, and let the patients achieve the best treatment effect.
priorityDate 2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 22.