{"id":104535,"date":"2025-05-30T07:05:36","date_gmt":"2025-05-30T07:05:36","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%a8%d8%a7%d8%b2%d9%86%da%af%d8%b1%db%8c-%d9%85%d8%b3%d8%a7%d8%a6%d9%84-%d8%b9%d8%af%d9%85-%d8%aa%d8%b9\/"},"modified":"2025-05-30T07:05:36","modified_gmt":"2025-05-30T07:05:36","slug":"%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%a8%d8%a7%d8%b2%d9%86%da%af%d8%b1%db%8c-%d9%85%d8%b3%d8%a7%d8%a6%d9%84-%d8%b9%d8%af%d9%85-%d8%aa%d8%b9","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%aa%d8%b1%d8%ac%d9%85%d9%87-%d9%81%d8%a7%d8%b1%d8%b3%db%8c-%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%a8%d8%a7%d8%b2%d9%86%da%af%d8%b1%db%8c-%d9%85%d8%b3%d8%a7%d8%a6%d9%84-%d8%b9%d8%af%d9%85-%d8%aa%d8%b9\/","title":{"rendered":"\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0628\u0627\u0632\u0646\u06af\u0631\u06cc \u0645\u0633\u0627\u0626\u0644 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0648\u0638\u0627\u06cc\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0628\u06cc\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0642\u0644\u0628\u06cc"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nRevisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks<\/td>\n<\/tr>\n
\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0628\u0627\u0632\u0646\u06af\u0631\u06cc \u0645\u0633\u0627\u0626\u0644 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0648\u0638\u0627\u06cc\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0628\u06cc\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0642\u0644\u0628\u06cc<\/td>\n<\/tr>\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\nThao Hoang, Linh Nguyen, Khoi Do, Duong Nguyen, Viet Dung Nguyen<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\nPDF<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u062a\u062d\u0648\u06cc\u0644\u06cc <\/td>\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 <\/td>\n\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 <\/td>\n\u062f\u0648 \u062a\u0627 \u0633\u0647 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 (\u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc)<\/td>\n<\/tr>\n
\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n11<\/td>\n<\/tr>\n
\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a <\/td>\nMachine Learning,Signal Processing,\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 , \u067e\u0631\u062f\u0627\u0632\u0634 \u0633\u06cc\u06af\u0646\u0627\u0644 ,<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a <\/td>\nSubmitted 19 July, 2024; originally announced July 2024.<\/td>\n<\/tr>\n
\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 \u062f\u0631 19 \u0698\u0648\u0626\u06cc\u0647 2024 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0698\u0648\u0626\u06cc\u0647 2024 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06af\u0632\u06cc\u0646\u0647\u200c\u0647\u0627\u06cc \u062e\u0631\u06cc\u062f<\/h3>\n
\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0641\u0627\u06cc\u0644 PDF \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 19,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u062f\u0627\u0646\u0644\u0648\u062f \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 99,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n<\/p><\/div>\n

\n

\u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 + \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647 \u0627\u06cc \u0645\u0642\u0627\u0644\u0647 + \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647<\/h4>\n

\u0628\u0627 \u0627\u0646\u062a\u062e\u0627\u0628 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647\u060c \u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u0642\u0627\u0644\u0647 \u0627\u0635\u0644\u06cc \u0648 \u062a\u0631\u062c\u0645\u0647 \u06a9\u0627\u0645\u0644 \u0622\u0646\u060c \u06cc\u06a9 \u062e\u0644\u0627\u0635\u0647 \u062f\u0648 \u0635\u0641\u062d\u0647\u200c\u0627\u06cc \u0641\u0627\u0631\u0633\u06cc \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc \u062e\u0644\u0627\u0635\u0647 \u0645\u0642\u0627\u0644\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631\u06cc\u0627\u0641\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.<\/p>\n

\u0642\u06cc\u0645\u062a: 440,000 \u062a\u0648\u0645\u0627\u0646<\/p>\n

\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644: 2 \u062a\u0627 3 \u0631\u0648\u0632 \u06a9\u0627\u0631\u06cc<\/p>\n<\/p><\/div>\n<\/p><\/div>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n

\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n

In the field of heart disease classification, two primary obstacles arise. Firstly, existing Electrocardiogram (ECG) datasets consistently demonstrate imbalances and biases across various modalities. Secondly, these time-series data consist of diverse lead signals, causing Convolutional Neural Networks (CNNs) to become overfitting to the one with higher power, hence diminishing the performance of the Deep Learning (DL) process. In addition, when facing an imbalanced dataset, performance from such high-dimensional data may be susceptible to overfitting. Current efforts predominantly focus on enhancing DL models by designing novel architectures, despite these evident challenges, seemingly overlooking the core issues, therefore hindering advancements in heart disease classification. To address these obstacles, our proposed approach introduces two straightforward and direct methods to enhance the classification tasks. To address the high dimensionality issue, we employ a Channel-wise Magnitude Equalizer (CME) on signal-encoded images. This approach reduces redundancy in the feature data range, highlighting changes in the dataset. Simultaneously, to counteract data imbalance, we propose the Inverted Weight Logarithmic Loss (IWL) to alleviate imbalances among the data. When applying IWL loss, the accuracy of state-of-the-art models (SOTA) increases up to 5% in the CPSC2018 dataset. CME in combination with IWL also surpasses the classification results of other baseline models from 5% to 10%.<\/p>\n

\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u062f\u0631 \u0632\u0645\u06cc\u0646\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u06cc\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0642\u0644\u0628\u06cc \u060c \u062f\u0648 \u0645\u0627\u0646\u0639 \u0627\u0635\u0644\u06cc \u0628\u0648\u062c\u0648\u062f \u0645\u06cc \u0622\u06cc\u0646\u062f.\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0627\u0648\u0644 \u060c \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0644\u06a9\u062a\u0631\u0648\u06a9\u0627\u0631\u062f\u06cc\u0648\u06af\u0631\u0627\u0645 \u0645\u0648\u062c\u0648\u062f (ECG) \u0628\u0647 \u0637\u0648\u0631 \u0645\u062f\u0627\u0648\u0645 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u0648 \u062a\u0639\u0635\u0628 \u0631\u0627 \u062f\u0631 \u0631\u0648\u0634\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.\u062b\u0627\u0646\u06cc\u0627 \u060c \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0634\u0627\u0645\u0644 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0647\u0627\u06cc \u0633\u0631\u0628 \u0645\u062a\u0646\u0648\u0639 \u0627\u0633\u062a \u0648 \u0628\u0627\u0639\u062b \u0645\u06cc \u0634\u0648\u062f \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc (CNN) \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0642\u062f\u0631\u062a \u0647\u0627\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u062a\u0628\u062f\u06cc\u0644 \u0634\u0648\u0646\u062f \u060c \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u0641\u0631\u0622\u06cc\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (DL) \u0631\u0627 \u06a9\u0627\u0647\u0634 \u0645\u06cc \u062f\u0647\u062f.\u0639\u0644\u0627\u0648\u0647 \u0628\u0631 \u0627\u06cc\u0646 \u060c \u0647\u0646\u06af\u0627\u0645 \u0645\u0648\u0627\u062c\u0647\u0647 \u0628\u0627 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0646\u0627\u0645\u062a\u0648\u0627\u0632\u0646 \u060c \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0632 \u0686\u0646\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0628\u0627 \u0627\u0628\u0639\u0627\u062f \u0628\u0627\u0644\u0627 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0645\u0633\u062a\u0639\u062f \u0627\u0628\u062a\u0644\u0627 \u0628\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0628\u0627\u0634\u062f.\u062a\u0644\u0627\u0634 \u0647\u0627\u06cc \u0641\u0639\u0644\u06cc \u0639\u0645\u062f\u062a\u0627\u064b \u0628\u0631 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u062f\u0644 \u0647\u0627\u06cc DL \u0628\u0627 \u0637\u0631\u0627\u062d\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u062c\u062f\u06cc\u062f \u0645\u062a\u0645\u0631\u06a9\u0632 \u0627\u0633\u062a \u060c \u0628\u0627 \u0648\u062c\u0648\u062f \u0627\u06cc\u0646 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc \u0645\u0634\u0647\u0648\u062f \u060c \u0628\u0647 \u0638\u0627\u0647\u0631 \u0646\u0627\u062f\u06cc\u062f\u0647 \u06af\u0631\u0641\u062a\u0647 \u0627\u0632 \u0645\u0633\u0627\u0626\u0644 \u0627\u0635\u0644\u06cc \u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0645\u0627\u0646\u0639 \u067e\u06cc\u0634\u0631\u0641\u062a \u062f\u0631 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0628\u06cc\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0642\u0644\u0628\u06cc \u0645\u06cc \u0634\u0648\u062f.\u0628\u0631\u0627\u06cc \u0631\u0641\u0639 \u0627\u06cc\u0646 \u0645\u0648\u0627\u0646\u0639 \u060c \u0631\u0648\u06cc\u06a9\u0631\u062f \u067e\u06cc\u0634\u0646\u0647\u0627\u062f\u06cc \u0645\u0627 \u062f\u0648 \u0631\u0648\u0634 \u0633\u0627\u062f\u0647 \u0648 \u0645\u0633\u062a\u0642\u06cc\u0645 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0642\u0648\u06cc\u062a \u0648\u0638\u0627\u06cc\u0641 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u062f.\u0628\u0631\u0627\u06cc \u067e\u0631\u062f\u0627\u062e\u062a\u0646 \u0628\u0647 \u0645\u0633\u0626\u0644\u0647 \u0627\u0628\u0639\u0627\u062f \u0628\u0627\u0644\u0627 \u060c \u0645\u0627 \u0627\u0632 \u0627\u06a9\u0648\u0644\u0627\u06cc\u0632\u0631 \u0628\u0632\u0631\u06af\u06cc \u06a9\u0627\u0646\u0627\u0644 (CME) \u062f\u0631 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0634\u062f\u0647 \u0633\u06cc\u06af\u0646\u0627\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.\u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0628\u0627\u0639\u062b \u06a9\u0627\u0647\u0634 \u0627\u0641\u0632\u0648\u0646\u06af\u06cc \u062f\u0631 \u0645\u062d\u062f\u0648\u062f\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u06cc\u0698\u06af\u06cc \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u063a\u06cc\u06cc\u0631\u0627\u062a \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0631\u0627 \u0628\u0631\u062c\u0633\u062a\u0647 \u0645\u06cc \u06a9\u0646\u062f.\u0628\u0647 \u0637\u0648\u0631 \u0647\u0645\u0632\u0645\u0627\u0646 \u060c \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0645\u0627 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0644\u06af\u0627\u0631\u06cc\u062a\u0645\u06cc \u0648\u0632\u0646 \u0645\u0639\u06a9\u0648\u0633 (IWL) \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u0628\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645.\u0647\u0646\u06af\u0627\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0636\u0631\u0631 IWL \u060c \u0635\u062d\u062a \u0645\u062f\u0644 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 (SOTA) \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 CPSC2018 \u062a\u0627 5 \u066a \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc \u06cc\u0627\u0628\u062f.CME \u062f\u0631 \u062a\u0631\u06a9\u06cc\u0628 \u0628\u0627 IWL \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u0632 \u0646\u062a\u0627\u06cc\u062c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0633\u0627\u06cc\u0631 \u0645\u062f\u0644 \u0647\u0627\u06cc \u067e\u0627\u06cc\u0647 \u0627\u0632 5 \u066a \u0628\u0647 10 \u066a \u067e\u06cc\u0634\u06cc \u0645\u06cc \u06af\u06cc\u0631\u062f.<\/p>\n\r\n\r\n \r\n \r\n \r\n \r\n
\u0641\u0631\u0645\u062a \u0627\u0631\u0627\u0626\u0647 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u062a\u062d\u0648\u06cc\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f<\/td>\r\n <\/tr>\r\n
\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 <\/td>\r\n \u0628\u06cc\u0646 2 \u062a\u0627 3 \u0631\u0648\u0632 \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634<\/td>\r\n <\/tr>\r\n\t
\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 <\/td>\r\n \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/td>\r\n <\/tr>\r\n\t\t
\u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 <\/td>\r\n \u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/td>\r\n <\/tr>\r\n<\/table>\r\n\r\n\n","protected":false},"excerpt":{"rendered":"

\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc […]<\/p>\n","protected":false},"featured_media":27,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[511,1158],"product_tag":[],"class_list":{"0":"post-104535","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-511","7":"product_cat-1158","8":"pmpro-has-access","9":"desktop-align-left","10":"tablet-align-left","11":"mobile-align-left","13":"first","14":"instock","15":"shipping-taxable","16":"purchasable","17":"product-type-variable"},"yoast_head":"\n\u062a\u0631\u062c\u0645\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u0628\u0627\u0632\u0646\u06af\u0631\u06cc \u0645\u0633\u0627\u0626\u0644 \u0639\u062f\u0645 \u062a\u0639\u0627\u062f\u0644 \u062f\u0631 \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0648\u0638\u0627\u06cc\u0641 \u0637\u0628\u0642\u0647\u200c\u0628\u0646\u062f\u06cc \u0628\u06cc\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0642\u0644\u0628\u06cc - 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