با عرض سلام نیاز به یک نفر داریم که در موضوع زیرکمکمون کنه (نفر اول) 🔸🔸🔸🔸🔸🔸🔸🔸🔸 Title: Chronic kidney disease classification: Deep ansemble approach کنفرانس مد نظر :
⚙️Abstract: Chronic kidney disease (CKD) is a progressive disease that may lead to kidney failure, so early diagnosis is crucial for proper management. This condition has a high mortality rate, especially in developing countries. CKD is often overlooked because there are no apparent symptoms in the early stages. Meanwhile, early diagnosis and timely clinical intervention are essential to reduce the progression of the disease. CKD diagnosis using deep learning (DL) and feature selection (FS) methods can be a useful application of artificial intelligence (AI) in healthcare. DL algorithms can provide cost-effective and efficient computer-aided diagnosis (CAD) to assist physicians. DL models are based on automatic feature selection. In some cases, manual feature extraction can improve the results before the network learning process. This study aims to present an ensemble deep-learning model for CKD classification. The proposed method used Deep Embedded Clustering (DEC) as a similarity feature. Also, latent features obtained from the Gaussian Mixture Model (GMM) process were used. The proposed method on UCI databases achieved an accuracy of 1.0 using the Synthetic Minority Over-Sampling technique (SMOTE).
با عرض سلام نیاز به یک نفر داریم که در موضوع زیرکمکمون کنه (نفر اول) 🔸🔸🔸🔸🔸🔸🔸🔸🔸 Title: Chronic kidney disease classification: Deep ansemble approach کنفرانس مد نظر :
⚙️Abstract: Chronic kidney disease (CKD) is a progressive disease that may lead to kidney failure, so early diagnosis is crucial for proper management. This condition has a high mortality rate, especially in developing countries. CKD is often overlooked because there are no apparent symptoms in the early stages. Meanwhile, early diagnosis and timely clinical intervention are essential to reduce the progression of the disease. CKD diagnosis using deep learning (DL) and feature selection (FS) methods can be a useful application of artificial intelligence (AI) in healthcare. DL algorithms can provide cost-effective and efficient computer-aided diagnosis (CAD) to assist physicians. DL models are based on automatic feature selection. In some cases, manual feature extraction can improve the results before the network learning process. This study aims to present an ensemble deep-learning model for CKD classification. The proposed method used Deep Embedded Clustering (DEC) as a similarity feature. Also, latent features obtained from the Gaussian Mixture Model (GMM) process were used. The proposed method on UCI databases achieved an accuracy of 1.0 using the Synthetic Minority Over-Sampling technique (SMOTE).
Just as the Bitcoin turmoil continues, crypto traders have taken to Telegram to voice their feelings. Crypto investors can reduce their anxiety about losses by joining the “Bear Market Screaming Therapy Group” on Telegram. Although some crypto traders have moved toward screaming as a coping mechanism, several mental health experts call this therapy a pseudoscience. The crypto community finds its way to engage in one or the other way and share its feelings with other fellow members. On Tuesday, some local media outlets included Sing Tao Daily cited sources as saying the Hong Kong government was considering restricting access to Telegram. Privacy Commissioner for Personal Data Ada Chung told to the Legislative Council on Monday that government officials, police and lawmakers remain the targets of “doxxing” despite a privacy law amendment last year that criminalised the malicious disclosure of personal information. Don’t publish new content at nighttime. Since not all users disable notifications for the night, you risk inadvertently disturbing them. Matt Hussey, editorial director of NEAR Protocol (and former editor-in-chief of Decrypt) responded to the news of the Telegram group with “#meIRL.”
from us
