Clinical Characteristics and Management of Patients with Secondary Hyperparathyroidism Undergoing Hemodialysis: A Feasibility Analysis of Electronic Health Records Using Natural Language Processing.

ABSTRACT:

Introduction

This study aimed to assess the feasibility of applying natural language processing (NLP) to analyze real-world data (RWD) and resolve clinical problems in patients with secondary hyperparathyroidism and chronic kidney disease undergoing hemodialysis (SHPT/CKD-HD). The primary objective was to evaluate how well the guideline-recommended analytical goals are achieved in a Spanish cohort of SHPT/CKD-HD patients based on RWD.

Methods

Unstructured data in the electronic health records (EHRs) from 8 hospitals were retrospectively analyzed using the EHRead^® technology, based on NLP and machine learning. Variables extracted from EHRs included demographics, CKD-related clinical characteristics, comorbidities and complications, mineral and bone di

SUBMITTER: Ortiz A 

PROVIDER: S-EPMC10368074 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature