A5029699966- Cancer survivorship and care
- Cancer-related cognitive impairment studies
- Cardiac Health and Mental Health
- Mental Health via Writing
- Lung Cancer Diagnosis and Treatment
- Clinical practice guidelines implementation
- Palliative Care and End-of-Life Issues
- Digital Mental Health Interventions
- Telemedicine and Telehealth Implementation
- Childhood Cancer Survivors' Quality of Life
- Healthcare Systems and Public Health
- Artificial Intelligence in Healthcare and Education
- Cancer Treatment and Pharmacology
According to Europe's Beating Cancer Plan, the number of cancer survivors is growing every year and now estimated at over 12 million in Europe. A main objective European Commission ensure that can enjoy a high quality life, underlining role digital technology eHealth apps tools achieve this.The this study development user-centered artificial intelligence system facilitate input integration patient-related biopsychosocial data improve posttreatment well-being, health outcomes examine...
Abstract Background Depression is a common condition among cancer patients, across several points in the disease trajectory. Although presenting higher prevalence rates than general population, it often not reported or remains unnoticed. Moreover, somatic symptoms of depression are oncological context and should be dismissed as symptom cancer. It becomes even more challenging to track psychological distress period after treatment, where connection with healthcare system typically sporadic....
<sec> <title>BACKGROUND</title> According to Europe’s Beating Cancer Plan, the number of cancer survivors is growing every year and now estimated at over 12 million in Europe. A main objective European Commission ensure that can enjoy a high quality life, underlining role digital technology eHealth apps tools achieve this. </sec> <title>OBJECTIVE</title> The this study development user-centered artificial intelligence system facilitate input integration patient-related biopsychosocial data...
Abstract This publication presents a solution approach to oncological aftercare for cancer patients by means of artificial intelligence (AI) methods. shall support in overcoming the after-effects therapy effectively with suitable supportive actions and health-care professionals goal-oriented planning these actions. Different AI methods are used analyzing patients’ needs depending on available health data monitoring Decision effective based results analysis. The is realized form web...
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