[HTML][HTML] Application scenarios for artificial intelligence in nursing care: rapid review

K Seibert, D Domhoff, D Bruch, M Schulte-Althoff… - Journal of medical …, 2021 - jmir.org
Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Malnutrition in hospitalized old patients: screening and diagnosis, clinical outcomes, and management

F Bellanti, A Lo Buglio, S Quiete, G Vendemiale - Nutrients, 2022 - mdpi.com
Malnutrition in hospitalized patients heavily affects several clinical outcomes. The
prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to …

Racial, economic, and health inequality and COVID-19 infection in the United States

V Abedi, O Olulana, V Avula, D Chaudhary… - Journal of racial and …, 2021 - Springer
Objectives There is preliminary evidence of racial and social economic disparities in the
population infected by and dying from COVID-19. The goal of this study is to report the …

[PDF][PDF] lo Buglio

F Bellanti, AD Romano - 2021 - ppm.edu.pl
Safety of healthcare workers in hospitals is a major concern during the COVID-19 pandemic.
Being exposed for several working hours per day to infected patients, nurses dealing with …

[HTML][HTML] Artificial Intelligence in Malnutrition: A systematic literature review

SMW Janssen, Y Bouzembrak, B Tekinerdogan - Advances in Nutrition, 2024 - Elsevier
Malnutrition among the population of the world is a frequent yet underdiagnosed problem in
both children and adults. Development of malnutrition screening and diagnostic tools for …

Machine learning-enabled 30-day readmission model for stroke patients

N Darabi, N Hosseinichimeh, A Noto, R Zand… - Frontiers in …, 2021 - frontiersin.org
Background and Purpose: Hospital readmissions impose a substantial burden on the
healthcare system. Reducing readmissions after stroke could lead to improved quality of …

[HTML][HTML] Explainable AI for malnutrition risk prediction from m-health and clinical data

F Di Martino, F Delmastro, C Dolciotti - Smart Health, 2023 - Elsevier
Malnutrition is a serious and prevalent health problem in the older population, and
especially in hospitalised or institutionalised subjects. Accurate and early risk detection is …

At the intersection of gut microbiome and stroke: a systematic review of the literature

V Sharma, V Sharma, S Shahjouei, J Li… - Frontiers in …, 2021 - frontiersin.org
Background: Ischemic and hemorrhagic stroke are associated with a high rate of long-term
disability and death. Recent investigations focus efforts to better understand how alterations …

[HTML][HTML] Exploration of machine learning and statistical techniques in development of a low-cost screening method featuring the global diet quality score for detecting …

N Birk, M Matsuzaki, TT Fung, Y Li, C Batis… - The Journal of …, 2021 - Elsevier
Background The prevalence of type 2 diabetes has increased substantially in India over the
past 3 decades. Undiagnosed diabetes presents a public health challenge, especially in …

An AI based approach for personalized nutrition and food menu planning

K Azzimani, H Bihri, A Dahmi, S Azzouzi… - 2022 IEEE 3rd …, 2022 - ieeexplore.ieee.org
Dietary intake is considered one of the major research issues in the field of nutrition and
health care. However, existing tools are time consuming and require skilled people to …