With minor differences, most national colorectal cancer (CRC) screening programs in Europe consist of one-size-fits-all age-based strategies. In a joint effort with the UNIRIOJA team, researchers from the Mathematical Sciences Institute (ICMAT) in Spain have developed a decision model for screening allocation that considers CRC risk factors beyond age, including body mass index, smoking, alcohol consumption, diabetes, hypertension and some others.
Represented as an influence diagram, the decision model can identify potential screening strategies, their impacts, and how to evaluate them. The model considers attributes influencing the decision, such as the implementation costs of the screening method, the associated comfort level, potential complications that may occur during the process of screening, and the amount of information each method can provide. A general “parametrizable utility function” then combines all these criteria while accounting for the decision maker’s risk aversion. As such, a screening protocol is devised for an individual based on a “maximum expected utility” algorithm.
Several use cases are considered, including examples underscoring the need for personalised screening strategies that adapt to CRC risk; the assessment of a national strategy showcasing how its design may be improved for better identification of CRC positive cases; and a methodology to assess and benchmark new screening tools and methods, such as those soon to be delivered in ONCOSCREEN, and determine which of them are more closely related to people’s risk patterns.
The details of this publication are as follows:
Corrales, D., Insua, D. R., & González, M. J. (2025). A decision support model for colorectal cancer screening. Computers in Biology and Medicine, 196, 110755. https://doi.org/10.1016/j.compbiomed.2025.110755.
This innovative decision model for colorectal cancer screening is impressive. It goes beyond age, incorporating personalized factors and utility functions, which could significantly improve screening strategies and patient outcomes.no, i’m not a human 攻略
This innovative decision model for colorectal cancer screening is a significant step forward. The personalized approach considering multiple risk factors and patient preferences, like comfort and cost, is highly commendable and promising for future healthcare.ai watermark
This research is groundbreaking! The personalized screening model is incredibly useful for improving healthcare outcomes. Its refreshing to see such innovative approaches to colorectal cancer screening.
This innovative model is impressive for its personalized approach, going beyond age to consider various risk factors and patient preferences, which could significantly improve colorectal cancer screening strategies and outcomes.MIM
This innovative model for colorectal cancer screening is impressive and promising. The personalized approach considering various risk factors and patient preferences could significantly improve screening strategies and patient outcomes.英国区苹果AppleID独享
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, for sure, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, its fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!ancient vows poe2
This personalized screening model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for health!
This personalized screening model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, for sure, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, its fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for health!
This innovative colorectal cancer screening model truly impressed me with its personalized approach. Its refreshing to see a system that goes beyond age alone, incorporating various risk factors and patient preferences. The idea of using a maximum expected utility algorithm to tailor screening protocols for individuals is particularly promising for improving both strategies and outcomes. However, I wonder about the practicality of quantifying subjective factors like comfort levels. Despite this, the emphasis on benchmarking new tools against risk patterns rather than just speed is a welcome shift. Its exciting to see such advancements that could make a real difference in patient care!speed stars unlock
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!Basketball Bros
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!deltarune prophecy ending
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This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!football bros
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!màn hình đếm ngược thời gian
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!mold tooling
Sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!
Sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!Grow a garden pet tier list
This decision model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!compress mp4
This screening model sounds brilliant, seriously! But does it factor in the patients willingness to endure awkward screening positions for the sake of utility? 😉 Personalized risk assessment is key, though I wonder how the comfort level metric is quantified – on a scale of 1 to also known as my cat? Still, fantastic to see methods being benchmarked for how well they align with risk patterns rather than just how quickly they can be done between coffee breaks. Very useful stuff!basketball stars
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