Cancer Survivorship Algorithms vs Breast Cancer Survivorship Uso & Estadísticas

Survivorship algorithms depict best practices for care delivery by providing patient management tools to patients under surveillance for cancer recurrence and secondary cancers. Patients are transitioned to Survivorship once there is no evidence of disease for a specific time period dependent on the patient’s cancer site. These algorithms are not intended to replace the independent medical judgment of the physician in the context of individual clinical circumstances to determine a patient's care. Disclaimer: These algorithms have been developed for MD Anderson using a multidisciplinary approach considering circumstances particular to MD Anderson’s specific patient population, services and structure, and clinical information. This is not intended to replace the independent medical or professional judgment of physicians or other health care providers in the context of individual clinical circumstances to determine a patient's care. This algorithm should not be used to treat pregnant women.
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About Us “Thrive HKU” is an initiative mobile application of The Department of Clinical Oncology, LKS Faculty of Medicine of the University of Hong Kong. “Thrive HKU” aims to provides better support for breast cancer survivors both physically and psychologically. “Thrive HKU” equips breast cancer survivors with educational materials on breast cancer management and psychological support. Registered users will be given a Pink Fitbit which can encourage them to have more exercises and have a healthy lifestyle. We wish breast cancer survivors who use the thrive app and Pink Fitbit every day can have a bright and healthy future! Disclaimer The information contained in this App is for general educational purpose and reference only. Such information is not medical advice, diagnosis or treatment on any individual case or patient and should not be treated as a substitute for professional medical advice, diagnosis or treatment. You should consult your attending doctor or health professional for any medical condition that you may have, rather than relying on the information provided in this App.
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Cancer Survivorship Algorithms frente a Breast Cancer Survivorship: comparación de la clasificación

Comparar la tendencia de clasificación de Cancer Survivorship Algorithms en los últimos 28 días con Breast Cancer Survivorship

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Comparación de las clasificaciones Cancer Survivorship Algorithms frente a Breast Cancer Survivorship por países

Comparar la tendencia de clasificación de Cancer Survivorship Algorithms en los últimos 28 días con Breast Cancer Survivorship

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Cancer Survivorship Algorithms VS.
Breast Cancer Survivorship

17iciembre d, 2024