Chronic kidney disease prediction using boosting techniques based on clinical parameters

SM Ganie, PK Dutta Pramanik, S Mallik, Z Zhao - Plos one, 2023 - journals.plos.org
Chronic kidney disease (CKD) has become a major global health crisis, causing millions of
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …

Learning-based techniques for heart disease prediction: a survey of models and performance metrics

PC Bizimana, Z Zhang, M Asim, AAA El-Latif… - Multimedia Tools and …, 2024 - Springer
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches

SM Ganie, PK Dutta Pramanik, Z Zhao - BMC Medical Informatics and …, 2024 - Springer
Purpose Liver disease causes two million deaths annually, accounting for 4% of all deaths
globally. Prediction or early detection of the disease via machine learning algorithms on …

Early Identification of Risk Factors in Non-Alcoholic Fatty Liver Disease (NAFLD) Using Machine Learning

LR Guarneros-Nolasco, G Alor-Hernández… - Mathematics, 2023 - mdpi.com
Liver diseases are a widespread and severe health concern, affecting millions worldwide.
Non-alcoholic fatty liver disease (NAFLD) alone affects one-third of the global population …

Carrot Cure: A CNN based Application to Detect Carrot Disease

SD Ray, MKTK Natasha, MA Hakim… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Carrot is a famous nutritional vegetable and developed all over the world. Different diseases
of Carrot has become a massive issue in the carrot production circle which leads to a …

Detecting cyber attacks from untrusted components in smart electricity substations

X Wang - 2023 - eprints.qut.edu.au
Modern power grids have been experiencing a digitisation process in recent decades.
Particularly, substation automation systems which monitor and protect the physical …

[PDF][PDF] Arquitectura de un módulo para la identificación de factores de riesgo para la detección de desórdenes hepáticos a partir del análisis de biomarcadores …

LR Cabrera-Elías, JL Sánchez-Cervantes… - rcs.cic.ipn.mx
La salud es importante para llevar una vida estable y duradera, pero la falta de cuidado
aumenta el riesgo de enfermedades y dañar órganos, especialmente el hígado. En este …

[引用][C] Detección temprana de desórdenes hepáticos a partir del análisis de biomarcadores utilizando métodos de ensambles de aprendizaje automático

LR Cabrera Elías, JL Sánchez Cervantes… - 2024