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YitingChang authored Dec 26, 2023
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<img src="figures/proposal.jpeg" width="800">

## Data
The dataset is from the Levodopa Response Study supported by Michael J, Fox Foundation. In this dataset, 28 PD patients were included. These patients wore a smartwatch (accelerometer) on the wrist of the most affected limb and performed a series of tasks realted to activity of daily living such as standing, sitting, walking, opening a bottle and pouring water, drawing and writing on a paper, and typing on a computer keyboard. During each task, a trained clinician rated three PD symptoms: tremor (0-4 ranges), dyskinesia (involuntary, erratic, writhing movements, presence/absence), and bradykinesia (slowness of movement, presence/absence). Additionally, demographics and clinical data was collected.
The dataset is from the Levodopa Response Study supported by Michael J, Fox Foundation. In this dataset, 28 PD patients were included. These patients wore a smartwatch (accelerometer) on the wrist of the most affected limb and performed a series of tasks realted to activity of daily living such as standing, sitting, walking, opening a bottle and pouring water, drawing and writing on a paper, and typing on a computer keyboard. During each task, a trained clinician rated three PD symptoms: tremor (0-4 ranges), dyskinesia (involuntary, erratic, writhing movements, presence/absence), and bradykinesia (slowness of movement, presence/absence). Additionally, demographics and clinical data was collected.\

Please follow the instructions to access the dataset through [Synapse](https://www.synapse.org/#!Synapse:syn20681023/wiki/).

## Model training and evaluation

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## Acknowledgement
I want to thank my mentor, Ellen Ambrose, whose unwavering guidance significantly contributed to the success of this project. I would also like to express my appreciation to Pat Phelps at the JHU career office for invaluable support, as well as to the dedicated instructors—Eric Finkel, Alberto Hernandez, and Liang Chen—for their efforts in organizing the Data Science Fellows Program. Finally, my thanks go to all the alumni mentors who generously shared their experiences and provided valuable feedback.
I want to thank my mentor, Ellen Ambrose, whose unwavering guidance significantly contributed to the success of this project. I would also like to express my appreciation to Pat Phelps at the JHU career office for invaluable support, as well as to the dedicated instructors—Eric Finkel, Alberto Hernandez, and Liang Chen—for their efforts in organizing the Data Science Fellows Program. Finally, my thanks go to all the alumni mentors who generously shared their experiences and provided valuable feedback.

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