A Survey on Diabetes Mellitus Using Machine Learning Classifiers
Diabetes is a chronic illness problem that arises from insufficient insulin production or insufficient insulin use by the body. Most of causes of death, diabetes is linked to the interplay of lifestyle, psychosocial factors, medical problems, and risk factors that are hereditary and demographic. However, the evaluation measures and datasets used in each article vary when it comes to algorithms. It focuses on creating systems that do not require direct programming by automatically learning from data and gaining ideas to improve their performance. It enables systems to examine data, acquire experience, and make choices, allowing them to adjust and raise their level of performance over time. Health professionals, such as doctors, have benefited to assistance in treating, analysing, and diagnosing medical issues as well as identifying illness. This can assist patients in making an initial diagnosis of diabetes and is used by medical professionals as a resource.
Authors
- Meena Pundir (ORCID: https://orcid.org/0000-0002-2494-5936)
- Nidul Sinha (ORCID: https://orcid.org/0000-0003-0410-2154)
- Paurav Goel (ORCID: https://orcid.org/0000-0002-9433-003X)
Institutions
- Chandigarh University (IN)
Publication Details
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1109/cictn64563.2025.10932388
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 11.75