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14th October, 2009
European Survey on Standards of Care in paediatric oncology centres. J. R. Kowalczyk, M. Samardakiewicz, K. Pritchard-Jones, R. Ladenstein, S. Essiaf, E. Fitzgerald, G. Petrarulo, G. Vassal - EJC , Volume 61, pp 11-19
8th December, 2014
The purpose of this website is to provide good and clear information about the long-term effects of childhood cancer and to refer to the various late-effects outpatient clinics (LATER outpatient clinics) that exist in the Netherlands.
8th September, 2015
Cancer in young people is rare, but it is still a major health issue in Europe. Each year, more than 6,000 young people in Europe die of cancer. There are more than 300,000 European childhood cancer survivors (in 2020, they will be nearly half a million): two-thirds of them have some late side effects of treatment, that are severe and impact on the daily life of half of those affected.
Recurrence refers to the act of occurring again or repeating. In a health context, it often refers to the return of a disease or condition after a period of improvement or apparent cure. It can also apply to repeated patterns or events in various other disciplines, such as mathematics, engineering, or computer science.
Our world constantly evolves along cyclical patterns and sequences, representing a constant theme of recurrence. This article aims to unfold the concept, its meaning, significance and how it impacts various disciplines, including healthcare.
The term ‘recurrence’, from a general perspective, implies a process or event that repeats periodically. Rooted in Latin, ‘recurrence’ means ‘running back’. It holds crucial importance across various fields such as mathematics, computer science, healthcare, psychology, and many more.
Understanding recurrence allows us to foresee patterns or events, aiding us in making informed decisions. Identifying recurrence can help us predict, manage, and sometimes change the course of certain processes or actions. Particularly in medical science, understanding recurrence is pivotal to predict and manage the recurrence of diseases or disorders.
Recurrence, at its core, is the act of something happening or appearing again. In various domains, this repetition can mean different things. For instance, in mathematics, it signifies repeated calculation or iteration, whereas, in healthcare, it might indicate the return of symptoms or diseases.
The understanding of recurrence has evolved parallel with human understanding. Ancient civilizations were familiar with the recurrent patterns in seasons, star constellations, and natural cycles. This comprehension eventually paved the way towards establishing various scientific and sociological principles that help us decode our universe’s nature.
The concept of recurrence in mathematics usually entails repeating measurement or calculation processes to solve problems or make predictions. In statistics, modeling recurrent events such as repetitive customer purchases or recurrent illness episodes is vital for businesses and healthcare, respectively.
In computer science, recurrence finds its application in algorithms, particularly recursive algorithms where a problem is divided into smaller sub-problems of the same type. Understanding recurrence helps to enhance computation efficiency and optimize solutions.
Physics and engineering also heavily rely on understanding recurrence regarding periodic motions, wave patterns, structural designs, etc. The concept aids in predicting system behavior, enhancing efficiency, and mitigating risks.
In healthcare, recurrence particularly refers to the return of a disease or symptoms after a period of improvement or apparent cure. Understanding and predicting recurrence in diseases like cancer or mental health issues is critical to healthcare professionals for disease management and patient care.
In psychology, the idea of recurrence can explain behavioral patterns, thoughts, and emotions. It can help uncover the repetitive sequences of behavior or emotions, encouraging mindful interventions and behavior change strategies.
Recurrence also significantly influences therapeutic treatments and drug schedules in healthcare. Insight into the recurrence pattern of a disease may inform the dosage and frequency of drug administration or the need for a specific therapeutic intervention.
Preventive strategies mainly involve identifying risk factors, formulating effective interventions, regular monitoring, and fostering a healthy lifestyle; essentially, an active involvement can drastically reduce the risk of recurrence.
Clinical practices to manage recurrence include predictive analytics, drugs and therapies, and post-treatment surveillance. Again, these methodologies vary widely across practices, individual patients, and disease types.
Digital health platforms, with their data-driven insights and predictive algorithms, can play a crucial role in managing recurrence. They can offer personalised care maps, predictive analytics and telemedicine consultations, supporting clinicians in the fight against disease recurrence.
Understanding the concept of recurrence is essential for various professions and fields. It provides a foundation for pattern recognition, prediction models, disease management, and strategic planning. It positions us to predict and shape future developments with tangible benefits.
The progression in technology and data analytics will revolutionize the understanding of recurrence, bringing forth more efficient ways of prediction, prevention, and management in multiple domains, including healthcare. Thus, leading towards a more informed and evolved future.
Recurrence generally implies a process or event that repeats periodically. However, its definition varies based on the field of its application.
Understanding recurrence is crucial in healthcare to predict the likelihood of disease recurrence, formulate treatment plans, and manage patient care effectively.
Preventive strategies, clinical interventions, and digital health platforms are some common strategies to manage recurrence in healthcare.
In mathematics, it involves repeating calculations to solve problems, while in computer science, it aids in formulating recursive algorithms to optimize solutions.
Understanding recurrence is pivotal in several fields for pattern prediction, strategizing interventions, disease management, and shaping future developments.
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