Zobrazeno 1 - 10
of 51
pro vyhledávání: '"PIMA dataset"'
Autor:
Al-Hameli Bassam Abdo, Alsewari AbdulRahman A., Basurra Shadi S., Bhogal Jagdev, Ali Mohammed A. H.
Publikováno v:
Journal of Integrative Bioinformatics, Vol 20, Iss 1, Pp 104-16 (2023)
Diagnosing diabetes early is critical as it helps patients live with the disease in a healthy way – through healthy eating, taking appropriate medical doses, and making patients more vigilant in their movements/activities to avoid wounds that are d
Externí odkaz:
https://doaj.org/article/fb1bd55f7356477891ab4e62a9db473d
Autor:
Renas Rajab Asaad
Publikováno v:
International Research Journal of Science, Technology, Education, and Management, Vol 2, Iss 2, Pp 26-34 (2022)
Diabetes is actually one of the primary causes of human mortality. Diabetes is an intense disease affecting various parts of the human body. Diabetes can rise long-range complications including, renal failure and cardiac failure. It is therefore impe
Externí odkaz:
https://doaj.org/article/222c199ebb414661abffabc41e970d58
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 4, Iss , Pp 100118- (2023)
Type 2 diabetes is a chronic metabolic disease that affects a significant portion of the worldwide people. Prediction of this disease using different machine learning (ML) based algorithms has gained substantial attention due to its potential for ear
Externí odkaz:
https://doaj.org/article/78848de34fb34911af1fe14d662984e4
A Novel Proposal for Deep Learning-Based Diabetes Prediction: Converting Clinical Data to Image Data
Autor:
Muhammet Fatih Aslan, Kadir Sabanci
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 796 (2023)
Diabetes, one of the most common diseases worldwide, has become an increasingly global threat to humans in recent years. However, early detection of diabetes greatly inhibits the progression of the disease. This study proposes a new method based on d
Externí odkaz:
https://doaj.org/article/121d90f55b264fe39de0d81c5a18ea83
Autor:
Sivashankari R., Sudha M., Mohammad Kamrul Hasan, Rashid A. Saeed, Suliman A. Alsuhibany, Sayed Abdel-Khalek
Publikováno v:
Frontiers in Public Health, Vol 9 (2022)
Today, disease detection automation is widespread in healthcare systems. The diabetic disease is a significant problem that has spread widely all over the world. It is a genetic disease that causes trouble for human life throughout the lifespan. Ever
Externí odkaz:
https://doaj.org/article/6046ba66b6eb47e7b05170e542e35a00
Autor:
Parvathaneni Naga Srinivasu, Jana Shafi, T Balamurali Krishna, Canavoy Narahari Sujatha, S Phani Praveen, Muhammad Fazal Ijaz
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3067 (2022)
The development of genomic technology for smart diagnosis and therapies for various diseases has lately been the most demanding area for computer-aided diagnostic and treatment research. Exponential breakthroughs in artificial intelligence and machin
Externí odkaz:
https://doaj.org/article/6e0b63fb3fbb486dbac8ee5fb6bbd947
Autor:
Fatemeh Ahouz, Amin Golabpour
Publikováno v:
مجله انفورماتیک سلامت و زیست پزشکی, Vol 7, Iss 3, Pp 351-353 (2020)
Externí odkaz:
https://doaj.org/article/000287ff68fd482bbe9c7f244113368f
Autor:
Abdul Azis Abdillah, Suwarno Suwarno
Publikováno v:
International Journal of Technology, Vol 7, Iss 5, Pp 849-858 (2016)
Diabetes is one of the most serious health challenges in both developed and developing countries. Early detection and accurate diagnosis of diabetes can reduce the risk of complications. In recent years, the use of machine learning in predicting dise
Externí odkaz:
https://doaj.org/article/1eb2e29f5bff46c3a5293e2685b9a282
Autor:
Badiuzzaman Pranto, Sk. Maliha Mehnaz, Esha Bintee Mahid, Imran Mahmud Sadman, Ahsanur Rahman, Sifat Momen
Publikováno v:
Information, Vol 11, Iss 8, p 374 (2020)
Machine Learning has a significant impact on different aspects of science and technology including that of medical researches and life sciences. Diabetes Mellitus, more commonly known as diabetes, is a chronic disease that involves abnormally high le
Externí odkaz:
https://doaj.org/article/8156fa2e127d4f35800e04fa33f99f81
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