Imaging the substantia nigra in Parkinson disease and other Parkinsonian syndromes
Parkinson disease is characterized by dopaminergic cell loss in the substantia nigra of the
midbrain. There are various imaging markers for Parkinson disease. Recent advances in …
midbrain. There are various imaging markers for Parkinson disease. Recent advances in …
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
S Bhat, UR Acharya, Y Hagiwara, N Dadmehr… - Computers in biology …, 2018 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …
An explainable machine learning model for early detection of Parkinson's disease using LIME on DaTSCAN imagery
Parkinson's Disease (PD) is a degenerative and progressive neurological condition. Early
diagnosis can improve treatment for patients and is performed through dopaminergic …
diagnosis can improve treatment for patients and is performed through dopaminergic …
Detection of Parkinson's disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
Early detection of Parkinson's disease (PD) is very important in clinical diagnosis for
preventing disease development. In this study, we present efficient discrete wavelet …
preventing disease development. In this study, we present efficient discrete wavelet …
Artificial intelligence techniques for automated diagnosis of neurological disorders
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
diagnosis (CAD) system trained using lots of patient data and physiological signals and …
Parkinson's disease detection from resting-state EEG signals using common spatial pattern, entropy, and machine learning techniques
Parkinson's disease (PD) is a very common brain abnormality that affects people all over the
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
world. Early detection of such abnormality is critical in clinical diagnosis in order to prevent …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels
In this study, a novel method to automatically detect Parkinson's disease (PD) using vowels
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
is proposed. A combination of minimum average maximum (MAMa) tree and singular value …
Machine learning methods with decision forests for Parkinson's detection
M Pramanik, R Pradhan, P Nandy, AK Bhoi… - Applied Sciences, 2021 - mdpi.com
Biomedical engineers prefer decision forests over traditional decision trees to design state-
of-the-art Parkinson's Detection Systems (PDS) on massive acoustic signal data. However …
of-the-art Parkinson's Detection Systems (PDS) on massive acoustic signal data. However …
Brain morphological dynamics of procrastination: The crucial role of the self-control, emotional, and episodic prospection network
Globally, about 17% individuals are suffering from the maladaptive procrastination until now,
which impacts individual's financial status, mental health, and even public policy. However …
which impacts individual's financial status, mental health, and even public policy. However …