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Artificial intelligence in pregnancy: A sco** review
Artificial Intelligence has been widely applied to a majority of research areas, including
health and medicine. Certain complications or disorders that can appear during pregnancy …
health and medicine. Certain complications or disorders that can appear during pregnancy …
Diabetes type2 patient detection using lasso based cffnn machine learning approach
Type 2 diabetes is a long-lived condition that prevents the insulin human system properly
using. Insulin sensitivity is a condition that affects patients with type 2 diabetes. This type of …
using. Insulin sensitivity is a condition that affects patients with type 2 diabetes. This type of …
Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes
Objective The aim of the present study was to identify the factors associated with non-
attendance of immediate postpartum glucose test using a machine learning algorithm …
attendance of immediate postpartum glucose test using a machine learning algorithm …
Prediction of postpartum prediabetes by machine learning methods in women with gestational diabetes mellitus
Early onset of type 2 diabetes and cardiovascular disease are common complications for
women diagnosed with gestational diabetes. Prediabetes refers to a condition in which …
women diagnosed with gestational diabetes. Prediabetes refers to a condition in which …
Prioritizing the psychosocial support needs of mothers with gestational diabetes: a Delphi study
Background: Gestational diabetes is the most common medical complication in pregnancy,
and the psychosocial health of women suffering from this condition affects their adherence to …
and the psychosocial health of women suffering from this condition affects their adherence to …
Early detection of type 2 diabetes mellitus using deep neural network–based model
V Sapra, L Sapra - Advanced Healthcare Systems …, 2022 - Wiley Online Library
Summary According to International Diabetes Federation, 463 million people are diabetic
worldwide. Due to change in lifestyle, the disease has effected many people drastically …
worldwide. Due to change in lifestyle, the disease has effected many people drastically …
Diabetes mellitus classification using hybrid machine learning with stacking technique
AY Saleh, BB Batou - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Diabetes Mellitus is one of the world's fastest growing and most fatal diseases. Diabetes
mellitus is a metabolic disorder that worsens as the body's ability to metabolise glucose …
mellitus is a metabolic disorder that worsens as the body's ability to metabolise glucose …
Machine learning model to predict microbe growth in neutropenic patients with hematological malignancy
N Irfana, P Rahul Krishnan, TS Dipu… - AIP Conference …, 2023 - pubs.aip.org
Risk of internal infection in neutropenic patients with hematological malignancy is
associated with neutropenic sepsis. Empirical use of broad-spectrum antibiotics prior to …
associated with neutropenic sepsis. Empirical use of broad-spectrum antibiotics prior to …
Exploring Machine Learning Classifiers for Identifying Gestational Diabetes Mellitus
Gestational diabetes mellitus (GDM) is a con-dition in which a hormone produced by the
placenta disrupts the body's ability to use insulin efficiently. Early diagnosis of GDM risk is …
placenta disrupts the body's ability to use insulin efficiently. Early diagnosis of GDM risk is …
Machine learning prediction of early postpartum prediabetes in women with gestational diabetes mellitus
Background Early onset of type 2 diabetes and cardiovascular disease are common
complications for women diagnosed with gestational diabetes. About half of the women with …
complications for women diagnosed with gestational diabetes. About half of the women with …