Data Science and Artificial Intelligence in Preventing and Managing Chronic and Civilization Diseases
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 260
Special Issue Editors
Interests: heart failure; health psychology; medical data science; medical apps; cognitive assessment; patient’s compliance/non-compliance
Interests: computational algorithms; human biology; immunity; social networks; evolutionary epidemiology; human behavioural immunity; disease and human behaviour; biological signalling and social perception; human behavioural ecology
Special Issues, Collections and Topics in MDPI journals
Interests: schizophrenia; antipsychotics; depression; antidepressants; bipolar depression; NMDA receptors; machine learning; medical apps; phonotherapy; sexology
Special Issues, Collections and Topics in MDPI journals
Interests: data science; business intelligence; databases; data warehouses; AI appliaction i marketing and sales; AI appliaction in medicine
Special Issue Information
Dear Colleagues,
Support of medical care requires effective control of applied medication and methods of treatment. Due to the dynamic development of technology and digitalization, both clinical as well as scientific aspects of modern healthcare result in a creation of large datasets. Artificial intelligence may facilitate continuous patient monitoring, as well as personalization of complex medical care, as it creates new analytical capabilities (and consequently, conclusions and suggestions) going beyond the traditional statistical approach. That is why Artificial Intelligence is slowly becoming a natural and inseparable element of modern healthcare. Hence, it becomes necessary to conduct scientific research and collect evidence on the applications of Artificial Intelligence in Preventing and Managing Chronic and Civilization Diseases in various fields of medicine (including cardiology, psychiatry, urology, health psychology, etc.).
This Special Issue of IJERPH will cover all aspects of AI application in the topic area, focusing on prevention and management. Original research, expert opinions, systematic reviews and meta-analyses are welcome.
Important additional information:
The team of scientists involved in the preparation of this Special Issue met thanks to the HeartBIT_4.0 (Application of innovative Medical Data Science technologies for heart diseases) project, under which the staff from the Wroclaw Medical University were trained and developed scientific networking in the field of Data Science and application of Data Science techniques to medicine. The project (2020–2022) has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 857446 (www.heartbit40.com).
Dr. Agnieszka Siennicka
Dr. Dariusz Danel
Prof. Dr. Marek Krzystanek
Dr. Maciej Pondel
Guest Editors
Manuscript Submission Information
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Keywords
- chronic diseases
- civilization diseases
- artificial intelligence
- machine learning
- computational algorithms
- disease management
- medical data science
