Predicting dementia diagnosis from cognitive footprints in electronic health records: a case-control study protocol.

ABSTRACT:

Introduction

Dementia is a group of disabling disorders that can be devastating for persons living with it and for their families. Data-informed decision-making strategies to identify individuals at high risk of dementia are essential to facilitate large-scale prevention and early intervention. This population-based case-control study aims to develop and validate a clinical algorithm for predicting dementia diagnosis, based on the cognitive footprint in personal and medical history.

Methods and analysis

We will use territory-wide electronic health records from the Clinical Data Analysis and Reporting System (CDARS) in Hong Kong between 1 January 2001 and 31 December 2018. All individuals who were at least 65 years old by the end of 2018 will be identified from CDARS. A rando

SUBMITTER: Luo H 

PROVIDER: S-EPMC7678375 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature