Results 1 to 10 of about 25,988 (253)

Malnutrition, Health and the Role of Machine Learning in Clinical Setting [PDF]

Frontiers in Nutrition, 2020
Nutrition plays a vital role in health and the recovery process. Deficiencies in macronutrients and micronutrients can impact the development and progression of various disorders.
Vaibhav Sharma, Vishakha Sharma, Ayesha Khan, David J. Wassmer, Matthew D. Schoenholtz, Raquel Hontecillas, Josep Bassaganya-Riera, Ramin Zand, Vida Abedi   +8 more
doaj   +5 more sources

Feature selection and association rule learning identify risk factors of malnutrition among Ethiopian schoolchildren

Frontiers in Epidemiology, 2023
IntroductionPrevious studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods.
William A. Russel, Jim Perry, Claire Bonzani, Amanda Dontino, Zeleke Mekonnen, Ahmet Ay, Ahmet Ay, Bineyam Taye   +7 more
doaj   +3 more sources

Development and validation of a machine learning–based model for diagnosing perioperative malnutrition in older adults with hip fracture [PDF]

Frontiers in Nutrition
BackgroundThe prevalence of malnutrition is significant among older adults with hip fractures, while existing screening tools face challenges such as complex procedures and a limited ability to objectively classify malnutrition status.
Zhiqiang He, Zhiqiang He, Mengyu Han, Yu An, Hui Xiao, Yaru Yang, Junxia Ye, Tianyu Wang, Jin Li   +8 more
doaj   +2 more sources

Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

International Journal of Cognitive Computing in Engineering, 2022
Background and Objectives: Malnutrition among women is a major public health problem that has been linked to stunted growth, diabetes, and has adverse consequences for children, including low birth weight, less resistance to infections, and a higher risk
Md. Merajul Islam, Md. Jahanur Rahman, Md Moidul Islam, Dulal Chandra Roy, N.A.M. Faisal Ahmed, Sadiq Hussain, Md Amanullah, Md. Menhazul Abedin, Md. Maniruzzaman   +8 more
doaj   +3 more sources

Development and Validation of Non-Invasive Machine-Learning Screening Models for Pediatric Malnutrition in Hospitalized Children: A Single-Center Study [PDF]

Children
Background/Objectives: Child malnutrition is a global health challenge linked to poor growth, impaired development, weakened immunity, and adverse outcomes. Early risk detection is essential, but current screening tools differ in accuracy and feasibility.
Petra Klanjšek, Petra Povalej Bržan, Nataša Marčun Varda, Mirjam Močnik, Sonja Golob Jančič, Miha Kovačič, Majda Pajnkihar   +6 more
doaj   +2 more sources

A comparative study of ordinal logistic regression and machine learning models for predicting women’s malnutrition in bangladesh: evidence from BDHS 2022 [PDF]

Journal of Health, Population and Nutrition
Malnutrition, including both undernutrition and overnutrition, remains a major public health concern in Bangladesh, particularly among women of reproductive age.
Umme Kulsum, Ahsanul Haque, Pallab Barai, Md. Moyazzem Hossain   +3 more
doaj   +2 more sources

Application of machine learning algorithm for predicting acute malnutrition among under 5 children in east Africa using recent DHS [PDF]

Scientific Reports
Acute malnutrition remains a critical public health challenge across East Africa, contributing substantially to under-five morbidity and mortality. Early identification of at-risk children using predictive models could enhance timely intervention.
Habtamu Guaguahu Feleke, Mulat Belay Simegn, Zenebe Abebe Gebreegziabher, Elyas Melaku Mazengia, Werkneh Melkie Tilahun   +4 more
doaj   +2 more sources

Forecasting acute childhood malnutrition in Kenya using machine learning and diverse sets of indicators.

PLoS ONE
ObjectivesMalnutrition is a leading cause of morbidity and mortality for children under-5 globally. Low- and middle-income countries, such as Kenya, bear the greatest burden of malnutrition.
Girmaw Abebe Tadesse, Laura Ferguson, Caleb Robinson, Shiphrah Kuria, Herbert Wanyonyi, Samuel Murage, Samuel Mburu, Rahul Dodhia, Juan M Lavista Ferres, Bistra Dilkina   +9 more
doaj   +2 more sources

Predicting malnutrition from longitudinal patient trajectories with deep learning.

PLoS ONE, 2022
Malnutrition is common, morbid, and often correctable, but subject to missed and delayed diagnosis. Better screening and prediction could improve clinical, functional, and economic outcomes.
Boyang Tom Jin, Mi Hyun Choi, Meagan F Moyer, David A Kim   +3 more
doaj   +3 more sources

Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

BMC Nutrition
Background This paper presents an in-depth examination of malnutrition in women in Bangladesh. Malnutrition in women is a major public health issue related to different diseases and has negative repercussions for children, such as premature birth ...
Estiyak Ahmed Turjo, Md. Habibur Rahman
doaj   +3 more sources