Yehenew Getachew Kifle

Abstract Food insecurity remains a critical global challenge, with low-income countries such as Ethiopia bearing a disproportionate burden. In settings where frequent data collection is limited, developing predictive models provides a cost-effective means of anticipating risks to enhance rapid life-saving action, supporting timely evidence-based interventions.

1 INTRODUCTION In precision health, prognosis often relates to the probability or risk of an individual developing a particular state of health or an outcome over a specific time, based on his or her clinical and nonclinical characteristics (Moons et al., 2009). Outcomes are often specific events, such as death, complications, and progression. Prognostic models are useful tools to estimate the risk that an individual in a particular health state will develop a particular health outcome.

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