Article detail · 2015
Computer‐Aided Diagnosis of Parkinson’s Disease Using Complex‐Valued Neural Networks and mRMR Feature Selection Algorithm
Journal
Journal of Healthcare Engineering- Year
- 2015
- Type
- article
Data source split
- YÖKSİS venue Journal of Healthcare Engineering
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Parkinson's disease (PD) is a neurological disorder which has a significant social and economic impact. PD is diagnosed by clinical observation and evaluations, coupled with a PD rating scale. However, these methods may be insufficient, especially in the initial phase of the disease. The processes are tedious and time-consuming, and hence systems that can automatically offer a diagnosis are needed. In this study, a novel method for the diagnosis of PD is proposed. Biomedical sound measurements obtained from continuous phonation samples were used as attributes. First, a minimum redundancy maximum relevance (mRMR) attribute selection algorithm was applied for the identification of the effective attributes. After conversion to a complex number, the resulting attributes are presented as input data to the complex-valued artificial neural network (CVANN). The proposed novel system might be a powerful tool for effective diagnosis of PD.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
114 citations
OpenAlex cited_by_count (cache / database)
16 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform 2019
- Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson’xxs disease 2017
- Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson s disease 2017
- Robust automated Parkinson disease detection based on voice signals with transfer learning 2021
- Robust automated Parkinson disease detection based on voice signals with transfer learning 2021
- Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- A hybrid CNN-LSTM model for pre-miRNA classification 2021
- A hybrid CNN-LSTM model for pre-miRNA classification 2021