The impacts of ocean acidification on marine ecosystems and reliant human communities
Racism. Sexism. Heterosexism. Gender binarism. Together, they comprise intimately
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
harmful, distinct, and entangled societal systems of self-serving domination and privilege …
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
Objectives The objective of this study was to compare performance of logistic regression
(LR) with machine learning (ML) for clinical prediction modeling in the literature. Study …
(LR) with machine learning (ML) for clinical prediction modeling in the literature. Study …
Predicting diabetes mellitus with machine learning techniques
Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many
complications. According to the growing morbidity in recent years, in 2040, the world's …
complications. According to the growing morbidity in recent years, in 2040, the world's …
A smart healthcare recommendation system for multidisciplinary diabetes patients with data fusion based on deep ensemble learning
The prediction of human diseases precisely is still an uphill battle task for better and timely
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
treatment. A multidisciplinary diabetic disease is a life‐threatening disease all over the …
Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …
above certain limits. Over the last years, machine and deep learning techniques have been …
[HTML][HTML] Immune-based prediction of COVID-19 severity and chronicity decoded using machine learning
BK Patterson, J Guevara-Coto, R Yogendra… - Frontiers in …, 2021 - frontiersin.org
Expression of CCR5 and its cognate ligands have been implicated in COVID-19
pathogenesis, consequently therapeutics directed against CCR5 are being investigated …
pathogenesis, consequently therapeutics directed against CCR5 are being investigated …
[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
Efficient automated disease diagnosis using machine learning models
Recently, many researchers have designed various automated diagnosis models using
various supervised learning models. An early diagnosis of disease may control the death …
various supervised learning models. An early diagnosis of disease may control the death …
Predicting type 2 diabetes using logistic regression and machine learning approaches
Diabetes mellitus is one of the most common human diseases worldwide and may cause
several health-related complications. It is responsible for considerable morbidity, mortality …
several health-related complications. It is responsible for considerable morbidity, mortality …
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques
R ElShawi, Y Sherif, M Al‐Mallah… - Computational …, 2021 - Wiley Online Library
Although complex machine learning models (eg, random forest, neural networks) are
commonly outperforming the traditional and simple interpretable models (eg, linear …
commonly outperforming the traditional and simple interpretable models (eg, linear …