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Even while climate talks are shattered, practical initiatives -- like financing seawalls -- can reduce the survival risks accurately outlined in your editorial.
Five survival prediction models to estimate patient's survival risks were considered.
Our study suggests a need for continued improvement in the communication of breast cancer therapy recurrence and survival risks.
In this study, we examined patient- and hospital-related factors and survival risks associated with treatment refusal in newly diagnosed colorectal cancer patients in Taiwan during 2004 2008.
Although a survival prediction model is developed to predict survival risks of patients based on their predictor profiles, it can also be used as a binary prediction model.
In this study, we focused on colorectal cancer patients in Taiwan who refused treatment, and examined the patients' characteristics, survival risks, and related factors.
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Little is known about long term survival risk factors in critically ill burn patients who survive hospitalization.
However, given the increasing longevity of individuals with type 1 diabetes, understanding survival risk factors in the type 1 diabetes population surviving to middle age is important.
Survival risk ratios.
We investigated the feasibility of survival risk predictions using high-throughput gene expression data and clinical data.
A survival risk model was established, and patients were classified into low-, moderand-, and high-risk groups based on the prognostic index designed in this study.
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