About the Journal

The Journal of Applied Interdisciplinary Research (JAIR) is a new open access and peer-reviewed journal published by the Deggendorf Institute of Technology in Bavaria. It is a series of the Bavarian Journal of Applied Research (BJAS).  Different to BJAS, JAIR is an English language publication channel, and contributions should address interdisciplinary issues or be written from an int
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Current Issue

No. Special Issue (2023): Special Issue Digital Health - Proceedings of the DigiHealthDay 2022 a joint publication with Medical Informatics and Engineering

Article

A Solid B.A.S.E. to Innovation within the NHS A New Approach to Social Sustainability

Tamsin Holland Brown (Author)
Abstract | Solid BASE NHS Downloads

Page 10-16

Telemedicine for Older Adults During COVID-19: A Literature Review

Mishleen Hallak (Author)
Abstract | Telemedicine Downloads

Page 17-31

Assessment of the Possibility of Implementing the Strategy of Information Integration of Health Care Systems

Ozar Mintser, Natalia Sinienko (Author)
Abstract | Assessment of the possibility Downloads

Page 32-36

Ontology-Based Approach for the Creation of Medically-Oriented Transdisciplinary Information-Analytical Platforms

Ozar Mintser, Oleksandr Stryzhak, Vitalii Prychodniuk (Author)
Abstract | Ontology-Based Approach Downloads

Page 37-45

Health apps for children Deploying Digital Health in a safe, high quality and high efficacy way in the Paediatric field.

Tamsin Holland Brown, Karl Prince , Jon Warner (Author)
Abstract | Health apps Downloads

Page 46-59

The Future of Medicine and the Logic of Data Management Data Discrimination Problems

Ozar Mintser (Author)
Abstract | Future of Medicine Downloads

Page 60-64

Informational Analytical Representations of the Magneto-Electrochemical Theory of Life and Health

Ozar Mintser, Maksim Potiazhenko, Ganna Nevoit (Author)
Abstract | Informational analytical representations Downloads

Page 72-79

Predicting Dengue in the Philippines Using an Artificial Neural Network

Bryan Zafra (Author)
Abstract | Zafra.pdf Downloads

Page 80-89

Bias – The Achilles Heel of Artificial Intelligence in Healthcare

Fara Aninha Fernandes, Georgi Chaltikyan, Martin Gerdes, Christian W. Omlin (Author)
Abstract | Bias Downloads

Page 90-101

Foreword

Foreword_DigiHealth_Issue

Michelle Cummings-Koether, Kristin Seffer (Author)
Abstract | Foreword Downloads

Editorial

Guest Editorial

Dipak Kalra, Horst Kunhardt, Georgi Chaltikyan, Ozar Mintser, Fara Aninha Fernandes (Author)
Abstract | Guest Editorial Downloads

Page 8-9

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