Medical Data Sharing, Harmonization and Analytics

Medical Data Sharing, Harmonization and Analytics serves as the basis for understanding the rapidly evolving field of medical data harmonization combined with the latest cloud infrastructures for storing the harmonized (shared) data. Chapters cover the latest research and applications on data sharing and protection in the medical domain, cohort integration through the recent advancements in data harmonization, cloud computing for storing and securing the patient data, and data analytics for effectively processing the harmonized data.

Examines the unmet needs in chronic diseases as a part of medical data sharingDiscusses ethical, legal and privacy issues as part of data protectionCombines data harmonization and big data analytics strategies in shared medical data, along with relevant case studies in chronic diseases

1. Introduction 2. Types and sources of medical and other related data 3. Medical data sharing 4. Data protection 5. Medical data harmonization 6. Cloud infrastructures for data sharing 7. Machine learning and data analytics 8. Case studies 9. Conclusions and future trends