Zobrazeno 1 - 10
of 639
pro vyhledávání: '"Heart Disease Prediction"'
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1509-1522 (2024)
In the present study, It used to categorise heart illness in the Cleveland UCI repository. It visually describes the dataset, operational parameters, and predictive analytics development. Machine learning (ML) begins with data preparation. The techni
Externí odkaz:
https://doaj.org/article/a9b060642de147c19080c6b7966341d3
Publikováno v:
Jurnal Informatika, Vol 12, Iss 2, Pp 149-158 (2024)
This analysis explores the efficiency of machine learning systems for heart disease identification through a multi-algorithm approach. The main objective is to identify the best performing algorithm for accurate disease prediction, improving clinical
Externí odkaz:
https://doaj.org/article/75756e3d2ec74fe1b23690b3848431b0
Autor:
Muhammad Amir Khan, Tehseen Mazhar, Muhammad Mateen Yaqoob, Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar, Yazeed Yasin Ghadi, Umar Farooq Khattak, Mohammad Shahid
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Heart disease is a complex and widespread illness that affects a significant number of people worldwide. Machine learning provides a way forward for early heart disease diagnosis. A classification model has been developed for the present stu
Externí odkaz:
https://doaj.org/article/71a33efa6ced44dbb9f75436322a5b91
Publikováno v:
PeerJ Computer Science, Vol 10, p e2498 (2024)
The early detection and accurate diagnosis of cardiovascular diseases is vital to reduce global morbidity and death rates. In this work, the quantum-inspired seagull optimization algorithm (QISOA) combined with a deep belief network (DBN) is proposed
Externí odkaz:
https://doaj.org/article/4fe40412d53e4bffa2aa7a72d9dfb95e
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-28 (2024)
Abstract The past few years have seen an emergence of interest in examining the significance of machine learning (ML) in the medical field. Diseases, health emergencies, and medical disorders may now be identified with greater accuracy because of tec
Externí odkaz:
https://doaj.org/article/fc2fdb22731a47c18d73470846899aaa
Publikováno v:
Kurdistan Journal of Applied Research, Vol 8, Iss 2 (2024)
Worldwide, heart attacks, also called myocardial infarctions, are a leading cause of death. Early detection and accurate prediction of heart attacks are crucial for effective medical intervention and patient care. In recent years, machine learning te
Externí odkaz:
https://doaj.org/article/3691082ae64949779ddb3320e0a207b9
Autor:
Dhadkan SHRESTHA
Publikováno v:
Applied Medical Informatics, Vol 46, Iss 3 (2024)
The ability to predict heart illness was essential for prompt diagnosis and treatment. Using the Cleveland Heart Disease dataset, this study tested a number of machine learning models, including LSTM networks, Random Forest, Gradient Boosting, XGBoos
Externí odkaz:
https://doaj.org/article/9222c7fdb36b43bcb0b2cc50645a6771
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 3 (2024)
Recent advancements in machine learning have played a crucial role in the healthcare industry, particularly in predicting heart disease with assorted datasets. Despite the registration results indicating promising accuracy and resilience in heart dis
Externí odkaz:
https://doaj.org/article/828da4c682d641d59e21136605140164
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100136- (2024)
This study focuses on enhancing complex machine learning models through quantization and data bit reduction. The primary goal is to reduce processing time while maintaining model performance, which is particularly relevant for intricate models with p
Externí odkaz:
https://doaj.org/article/721182dc0ba84649a943856e16ec9721
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The recent developments in quantum technology have opened up new opportunities for machine learning algorithms to assist the healthcare industry in diagnosing complex health disorders, such as heart disease. In this work, we summarize the ef
Externí odkaz:
https://doaj.org/article/3d6f01300b11403992a1aa174b57cb15