Federated learning is the process of develo** machine learning models over datasets
distributed across data centers such as hospitals, clinical research labs, and mobile devices …

Main Electronic health record (EHR) applications are digital versions of paper-based patient
health information. Traditionally, medical records are made on paper. However, nowadays …

New,“big data” sources allow measurement of city characteristics and outcome variables at
higher collection frequencies and more granular geographic scales than ever before …

Addressing minority health and health disparities has been a missing piece of the puzzle in
Big Data science. This article focuses on three priority opportunities that Big Data science …

Sensitive personal data are created in many application domains, and there is now an
increasing demand to share, integrate, and link such data within and across organisations in …

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on
the German Medical Informatics Initiative.“Smart Medical Information Technology for …

Record linkage is the challenging task of deciding which records, coming from disparate
data sources, refer to the same entity. Established back in 1946 by Halbert L. Dunn, the area …

People and machines are collecting data at an unprecedented rate. Despite this newfound
abundance of data, progress has been slow in sharing it for open science, business, and …

Accessing and integrating human genomic data with phenotypes are important for
biomedical research. Making genomic data accessible for research purposes, however …

People and machines are collecting data at an unprecedented rate. Despite this newfound
abundance of data, progress has been slow in sharing information for open science and …