Autor: |
Frigas A; National and Kapodistrian University of Athens, Faculty of Nursing, Health Informatics Laboratory, 115 27 Athens, Greece. afrigas@nurs.uoa.gr, Spyrou G, Antaraki A, Patiraki E, Koufopoulos K, Mantas J, Ligomenides P |
Jazyk: |
angličtina |
Zdroj: |
Studies in health technology and informatics [Stud Health Technol Inform] 2009; Vol. 150, pp. 130-4. |
Abstrakt: |
One of the most common cancer types among women is breast cancer. Regular mammographic examinations increase the possibility for early diagnosis and treatment and significantly improve the chance of survival for patients with breast cancer. Keeping an informed and complete patient record is of great importance as the doctor needs this information for every patient examination. The proposed implementation is a patient record system that includes 'smart' algorithms in order to automatically use data from the patient's record to calculate well established epidemiological breast cancer models. A computer-aided diagnosis system is also used in order to analyze each mammogram and obtain a certain risk percentage concerning whether the patient has to undergo biopsy or not. The aforementioned system has been implemented to support a large set of patient data (1,178 patients) which included detailed personal patient data, medical history and examination details per date and is used in the daily clinical practice of a breast cancer diagnostic center facilitating patient record retrieval, storage and supporting the doctor's decisions. |
Databáze: |
MEDLINE |
Externí odkaz: |
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