Negenerative nerve diseases have been a popular topic of interest for a very long time. These disorders are untreatable and worsen the patient’s condition with time. The only measure we can currently take is to slow down the progression of these diseases. The early diagnosis of these diseases can enable patients to practice preventive measures before the disease progresses to an uncontrollable stage; hence, the early diagnosis and progression tracking of these disorders are crucial. Through this paper, we assessed the role of machine learning and deep learning in the diagnosis of these disorders and identified various algorithms that have shown promising results when used for the diagnosis of degenerative nerve diseases.
Tuesday, February 7, 2023
Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions
Bhachawat S, Shriram E, Srinivasan K, Hu YC. Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions. Diagnostics (Basel, Switzerland). 2023 Jan;13(2):288. DOI: 10.3390/diagnostics13020288. PMID: 36673100; PMCID: PMC9858227.
