Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches

R Guetari, H Ayari, H Sakly - Knowledge and Information Systems, 2023 - Springer
The diagnostic phase of the treatment process is essential for patient guidance and follow-
up. The accuracy and effectiveness of this phase can determine the life or death of a patient …

Exploring the challenges of diagnosing thyroid disease with imbalanced data and machine learning: a systematic literature review

DS Saleh, MS Othman - Baghdad Science Journal, 2024 - bsj.uobaghdad.edu.iq
Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and
treatment of thyroid disease can help prevent more serious complications and improve long …

Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques

S Dalal, UK Lilhore, N Faujdar, S Simaiya… - Multimedia Tools and …, 2024 - Springer
The thyroid gland, a pivotal regulator of essential physiological functions, orchestrates the
production and release of thyroid hormones, playing a vital role in metabolism, growth …

[PDF][PDF] Identifying Thyroid Dysfunction Using Standard Laboratory Testings–A Systematic Review

V Jaiswal, P Gurudiwan - Journal of Angiotherapy, 2023 - publishing.emanresearch.org
Thyroid dysfunction includes various thyroid-related illnesses, with subclinical
hypothyroidism or hyperthyroidism at the initial stage. Blood TSH and T4 levels indicate a …

[PDF][PDF] Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature

DS Saleh, MS Othman - 2022 - iasj.net
Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and
treatment of thyroid disease can help prevent more serious complications and improve long …