Titlebook: Bioinformatics and Biomedical Engineering; 11th International C Ignacio Rojas,Francisco Ortu?o,Olga Valenzuela Conference proceedings 2024

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https://doi.org/10.1007/978-94-009-4920-1enging early diagnosis. Since then, scientists have leveraged machine learning potential to enhance decision support systems for managing the disease. This paper proposes a predictive model based on the Na?ve Bayes Classifier for monitoring the health-status of COVID-19 patients admitted to Spanish

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Iron Metabolism in the Bone Marrowtly there is no medicine for treating ASD. Fortunately, its symptoms may be alleviated if early interventions are applied. Early screening for ASD is therefore essential. Proposed methods in literature used behavioral and physiological signals to deal with this problem. In our research, we used four

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https://doi.org/10.1007/978-3-642-71483-2cial for structuring, coding, and retrieving data. However, available ontologies do not encompass all the relevant concepts and relationships. In this paper, we propose the framework SiMHOMer (Siamese Modela for Health Ontologies Merging), to semantically merge and integrate the most relevant ontolo

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https://doi.org/10.1007/978-3-642-71483-2rogressively reducing the costs of DNA sequencing. An ONT nanopore sequencer operates by guiding DNA fragments through a nanopore, partially blocking a flow of electrical current, which is sampled over time. This variation in current is registered as a ., and it allows for the translation of electri

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https://doi.org/10.1007/978-3-642-71483-2lability of these vital assets is of paramount importance. To this end, the implementation of a smart system for tracking medical equipment is a crucial consideration to prevent the loss or misplacement of devices and to facilitate the timely calibration of equipment. Medical devices circulate exten

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https://doi.org/10.1007/978-3-319-11641-9rking conditions. Through meticulous analysis, each solution is examined for strengths and weaknesses. The selection process considers criteria like range of motion, resting capability, sterility ease, risk level, innovation, implementation ease, and production simplicity..The objective is to identi

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Executive Summary and Conclusions,roup of elderly men. 32 healthy elderly men whose ages range between 60 and 85?years participated in our study. Weight and height were measured, and body mass index was calculated. WB BMC was evaluated by dual-energy x-ray absorptiometry (DXA). One-repetition maximum (1-RM) deadlift was directly det