Breast cancer therapy planning – a novel support concept for a sequential decision making problem
| Autor: | Patrick Rüdiger, Alexander Scherrer, Ilka Schwidde, Andreas Dinges, Sherko Kümmel, Karl-Heinz Küfer |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2014 |
| Předmět: |
Decision support system
medicine.medical_specialty Carcinosis Decision Making Medicine (miscellaneous) Antineoplastic Agents Breast Neoplasms Therapy planning Sequential decision Health informatics Decision Support Techniques Health administration Breast cancer sequential decision making Humans Medicine Medical physics Relevance (information retrieval) business.industry breast cancer therapy planning Models Theoretical medicine.disease General Health Professions Female mathematical decision support business |
| Zdroj: | Health Care Management Science. 18:389-405 |
| ISSN: | 1572-9389 1386-9620 |
| DOI: | 10.1007/s10729-014-9302-2 |
| Popis: | Breast cancer is the most common carcinosis with the largest number of mortalities in women. Its therapy comprises a wide spectrum of different treatment modalities a breast oncologist decides about for the individual patient case. These decisions happen according to medical guide lines, current scientific publications and experiences acquired in former cases. Clinical decision making therefore involves the time-consuming search for possible therapy options and their thorough testing for applicability to the current patient case. This research work addresses breast cancer therapy planning as a multi-criteria sequential decision making problem. The approach is based on a data model for patient cases with therapy descriptions and a mathematical notion for therapeutic relevance of medical information. This formulation allows for a novel decision support concept, which targets at eliminating observed weaknesses in clinical routine of breast cancer therapy planning. |
| Databáze: | OpenAIRE |
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