Results 11 to 20 of about 25,988 (253)

Machine learning and the nomogram as the accurate tools for predicting postoperative malnutrition risk in esophageal cancer patients

Frontiers in Nutrition
BackgroundPostoperative malnutrition is a prevalent complication following esophageal cancer surgery, significantly impairing clinical recovery and long-term prognosis.
Zhenmeng Lin, Zhenmeng Lin, Hao He, Mingfang Yan, Xiamei Chen, Hanshen Chen, Jianfang Ke   +6 more
doaj   +3 more sources

Development of a machine learning-based model to predict major adverse events after surgery for type A aortic dissection complicated by malnutrition

Frontiers in Nutrition
ObjectiveThis study aims to develop a predictive model for the risk of major adverse events (MAEs) in type A aortic dissection (AAAD) patients with malnutrition after surgery, utilizing machine learning (ML) algorithms.MethodsWe retrospectively collected
Lin-feng Xie, Lin-feng Xie, Lin-feng Xie, Xin-fan Lin, Xin-fan Lin, Xin-fan Lin, Yu-ling Xie, Yu-ling Xie, Yu-ling Xie, Qing-song Wu, Qing-song Wu, Qing-song Wu, Zhi-huang Qiu, Zhi-huang Qiu, Zhi-huang Qiu, Quan Lan, Liang-wan Chen, Liang-wan Chen, Liang-wan Chen   +18 more
doaj   +3 more sources

Predicting malnutrition in PLWHIV using machine learning in gondar, Ethiopia

BMC Public Health
Background Human Immunodeficiency Virus (HIV) continues to be a major global public health challenge, affecting 39.9 million people globally by the end of 2023. Sub-Saharan Africa bears a significant burden, contributing to 67% of cases.
Andualem Enyew Gedefaw, Abraham Keffale Mengistu, Tadele Chekol Maru, Agmasie Damtew Walle, Meron Asmamaw Alemayehu, Tirualem Zeleke Yehuala, Nebebe Demis Baykemagn   +6 more
doaj   +4 more sources

Impact of malnutrition management e-learning module on GPs’ knowledge: a pilot study

BJGP Open, 2023
Background: Malnutrition is underdiagnosed in primary care. GPs are key healthcare contacts for older adults at risk of protein-energy malnutrition; however, lack of knowledge and confidence in its diagnosis and treatment is often reported.
Aisling A Geraghty, Patricia Dominguez Castro, Ciara ME Reynolds, Sarah Browne, Frank Bourke, Catriona Bradley, Karen Finnigan, Sarah Clarke, Barbara Clyne, Gerard Bury, Carla Perrotta, Sharon Kennelly, Clare A Corish   +12 more
doaj   +1 more source

Comparison of Malnutrition Indicators and Associated Socio-Demographic Factors among Children in Rural and Urban Public Primary Schools in South Africa

Children, 2023
Most children in South Africa attending public schools are predisposed to malnutrition due to poor infrastructure and social inequality. This is despite the implementation of the National School Nutrition Programme to address barriers to learning ...
Mosebudi Olga Hlahla, Lindy Agatha Kunene, Peter Modupi Mphekgwana, Sphiwe Madiba, Kotsedi Dan Monyeki, Perpetua Modjadji   +5 more
doaj   +1 more source

Smart Management of Malnutrition Using Local Foods: A Sustainable Initiative for Developing Countries

Frontiers in Sustainable Food Systems, 2022
Malnutrition is one of the major challenges the developing world is currently facing, whether it is caused by climate change, terrorism and conflict, or demographic shifts.
Issoufou Amadou, Sitou Lawali
doaj   +1 more source

Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study

Journal of Medical Internet Research, 2023
BackgroundOlder patients are at an increased risk of malnutrition due to many factors related to poor clinical outcomes. ObjectiveThis study aims to develop an assisted diagnosis model using machine learning (ML) for ...
Xue Wang, Fengchun Yang, Mingwei Zhu, Hongyuan Cui, Junmin Wei, Jiao Li, Wei Chen   +6 more
doaj   +1 more source

“It Enables Us to Reflect More on Nutrition”: A Mixed Methods Cross-Sectional Study on Preclinical Digital Training in Nurse Education

Education Sciences, 2022
Adequate nutrition is a basic human right, yet older adults are at high risk of malnutrition. Nutrition is not a part of most nursing curricula. Limited research has been done on digital case-based learning (CBL) in breakout rooms (digital groups ...
Kari Almendingen, Ingrid Ruud Knutsen, Kari Jonsbu Hjerpaasen, Sigrun Henjum, Kari Anne Hakestad   +4 more
doaj   +1 more source

The Influence of Early Malnutrition on Subsequent Behavioral Development III. Learning Disabilities as a Sequel to Malnutrition [PDF]

Pediatric Research, 1984
The academic performance of 129 Barbadian children (77 boys and 52 girls), who were 5-11-yr-old and suffered moderate to severe protein-energy malnutrition in the first year of life, was compared with the performance of matched comparisons, children who had no history of malnutrition.
J R, Galler, F, Ramsey, G, Solimano
openaire   +2 more sources

The effects of malnutrition on intellectual development and learning. [PDF]

American Journal of Public Health, 1971
IN Colombia, South America, a darkhaired little girl named Maria lives with her family in a shack on a steep hill overlooking the south side of the city of Bogota. She is four years old, yet weighs only 22 pounds and is not yet 3 feet tall. She is lighter and shorter than Virginia who is half her age and is the child of a neighbor. A psychological test
M C, Latham, F, Cobos
openaire   +2 more sources