Design and evaluation of a mobile-based nutrition education application for infertile women in Iran
M Langarizadeh, SA Fatemi Aghda… - BMC Medical Informatics …, 2022 - Springer
Background The prevalence of infertility in Iran is higher than the world average.
Furthermorte, education and nutrition are among the effective factors in improving the quality …
Furthermorte, education and nutrition are among the effective factors in improving the quality …
Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review
A neonatal intensive care unit (NICU) provides critical services to preterm and high-risk
infants. Over the years, many tools and techniques have been introduced to support the …
infants. Over the years, many tools and techniques have been introduced to support the …
Prediction of neonatal deaths in NICUs: development and validation of machine learning models
Background Prediction of neonatal deaths in NICUs is important for benchmarking and
evaluating healthcare services in NICUs. Application of machine learning techniques can …
evaluating healthcare services in NICUs. Application of machine learning techniques can …
Machine learning in critical care: state-of-the-art and a sepsis case study
Background Like other scientific fields, such as cosmology, high-energy physics, or even the
life sciences, medicine and healthcare face the challenge of an extremely quick …
life sciences, medicine and healthcare face the challenge of an extremely quick …
[HTML][HTML] Artificial intelligence in global health—A framework and strategy for adoption and sustainability
TD Hadley, RW Pettit, T Malik, AA Khoei… - International Journal of …, 2020 - ncbi.nlm.nih.gov
Artificial Intelligence (AI) applications in medicine have grown considerably in recent years.
AI in the forms of Machine Learning, Natural Language Processing, Expert Systems …
AI in the forms of Machine Learning, Natural Language Processing, Expert Systems …
Neonatal disease prediction using machine learning techniques
YG Robi, TM Sitote - Journal of healthcare engineering, 2023 - Wiley Online Library
Neonatal diseases are among the main causes of morbidity and a significant contributor to
underfive mortality in the world. There is an increase in understanding of the …
underfive mortality in the world. There is an increase in understanding of the …
[HTML][HTML] Development of managerial key performance indicators for a hospital pharmacy digital dashboard
AD Mahmodabadi, M Langarizadeh… - Iranian Journal of …, 2019 - ncbi.nlm.nih.gov
Pharmaceutical performance is a critical factor in the hospital operation. Hospital pharmacy
activities require retrieving, processing, comparing, and updating the information …
activities require retrieving, processing, comparing, and updating the information …
A case-based reasoning system for neonatal survival and LOS prediction in neonatal intensive care units: a development and validation study
Early prediction of neonates' survival and Length of Stay (LOS) in Neonatal Intensive Care
Units (NICU) is effective in decision-making. We developed an intelligent system to predict …
Units (NICU) is effective in decision-making. We developed an intelligent system to predict …
Develo** a knowledge-based system for diagnosis and treatment recommendation of neonatal diseases
D Wendimu, K Biredagn - Cogent Engineering, 2023 - Taylor & Francis
An infant in the first 28 days following birth is referred to as a newborn baby. In Ethiopia,
neonatal mortality is a serious problem that accounts for the lion's share of under-five …
neonatal mortality is a serious problem that accounts for the lion's share of under-five …
Use of fuzzy logic based decision support systems in medicine
The complexity of the problems that are faced within people's decision-making process can
reveal a variety of challenges in the solution process. The increasing complexity of the …
reveal a variety of challenges in the solution process. The increasing complexity of the …