Objective We summarized a decade of new research focusing on semantic data integration
(SDI) since 2009, and we aim to:(1) summarize the state-of-art approaches on integrating …

Artificial intelligence (AI)-based solutions have revolutionized our world, using extensive
datasets and computational resources to create automatic tools for complex tasks that, until …

Disease ontologies facilitate the semantic organization and representation of domain-
specific knowledge. In the case of prostate cancer (PCa), large volumes of research results …

Allogeneic hematopoietic cell transplantation (HCT) effectively treats high‐risk hematologic
diseases but can entail HCT‐specific complications, which may be minimized by appropriate …

Background Electronic health record (EHR) data is commonly used for secondary purposes
such as research and clinical decision support. However, reuse of EHR data presents …

Background Acute graft‐versus‐host disease (aGvHD) is a major cause of death for patients
following allogeneic hematopoietic stem cell transplantation (HSCT). Effective management …

Image annotation is one of the most essential tasks for guaranteeing proper treatment for
patients and tracking progress over the course of therapy in the field of medical imaging and …

Introduction Data-driven research has improved paediatric cancer outcomes for children.
However, challenges in sharing data between institutions prevent the use of artificial …

Аннотация В работе представлены возможности использования методов обработки
естественного языка для прогностического анализа и обзора перспективных …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …