Immensely powerful knowledge is hidden in the vast amounts of information we produce daily. Not only from our public’s socio-economic behaviour and health status, which we increasingly share online, but also from the treatment data we generate and collect in our clinical routine. What if we could harvest and exploit this wealth to enable the right treatment for the right patient? This thesis discusses several Rapid Learning components that are needed to provide decision support systems, which help to determine the optimal therapy for cancer patients, taking cost-effectiveness into account. By incorporating cost-effectiveness analyses, even proton therapy is an option
Newly diagnosed cancer patients often face multiple treatment options (such as chemotherapy, surgery...
AbstractPurposeAn overview of the Rapid Learning methodology, its results, and the potential impact ...
To quantitatively assess the effectiveness of proton therapy for individual patients, we developed a...
Immensely powerful knowledge is hidden in the vast amounts of information we produce daily. Not only...
Immensely powerful knowledge is hidden in the vast amounts of information we produce daily. Not only...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Artificial intelligence (AI) research has the potential to improve the treatment of cancer but requi...
The prevalence of cancer is an increasing healthcare issue as it is the predominant cause of death w...
A paradigm shift from current population based medicine to personalized and participative medicine i...
Disconnected cancer research data management and lack of information exchange about planned and ongo...
Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherap...
This thesis focuses on healthcare (Big) Data and the value of interpretable models for outcome predi...
Newly diagnosed cancer patients often face multiple treatment options (such as chemotherapy, surgery...
AbstractPurposeAn overview of the Rapid Learning methodology, its results, and the potential impact ...
To quantitatively assess the effectiveness of proton therapy for individual patients, we developed a...
Immensely powerful knowledge is hidden in the vast amounts of information we produce daily. Not only...
Immensely powerful knowledge is hidden in the vast amounts of information we produce daily. Not only...
Healthcare is becoming more expensive, more complex and more personalised. Efficient and faster rese...
Artificial intelligence (AI) research has the potential to improve the treatment of cancer but requi...
The prevalence of cancer is an increasing healthcare issue as it is the predominant cause of death w...
A paradigm shift from current population based medicine to personalized and participative medicine i...
Disconnected cancer research data management and lack of information exchange about planned and ongo...
Extensive, multifactorial data sharing is a crucial prerequisite for current and future (radiotherap...
This thesis focuses on healthcare (Big) Data and the value of interpretable models for outcome predi...
Newly diagnosed cancer patients often face multiple treatment options (such as chemotherapy, surgery...
AbstractPurposeAn overview of the Rapid Learning methodology, its results, and the potential impact ...
To quantitatively assess the effectiveness of proton therapy for individual patients, we developed a...