Parkinson disease (PD) is a universal public health problem of massive measurement.
Machine learning based method is used to classify between healthy people and people with …

Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …

We present a model for digital neural impairment screening and self-assessment, which can
evaluate cognitive and motor deficits for patients with symptoms of central nervous system …

Parkinson disease, the second most common neurological disorder that causes significant
disability, reduces the quality of life and has no cure. Approximately, 90% affected people …

Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with sig-nificant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …

Background and Objective: New technology enables constant boost to the powers of mobile
devices, which in the previous years have transformed from simple mobile phones to smart …

We introduce an approach to predict deterioration of reaction state for people having
neurological movement disorders such as hand tremors and nonvoluntary movements …

The motor and non-motor complications in older people leads to neurodegenerative
disorder known as Parkinson's Disease. Movement ailments are instigated by the dopamine …

Although medical data classification is a challenging task, it allures the research community
so that it can help to take precise precautions in restraining future diseases. To perpetrate …

Smart Agriculture is a development that emphasizes the use of information technology in the
farming. Most of the population in India depending on agriculture. This situation is one of the …