# Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/reliable-parkinson-s-disease-detection-by-analyzing-handwritten-drawings/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Liaqat Ali,Ce Zhu,Noorbakhsh Amiri Golilarz,Ashir Javeed,Mingyi Zhou,Yipeng Liu |
| Citations | 127 |
| DOI | 10.1109/access.2019.2932037 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08781770.pdf |
| OpenAlex ID | https://openalex.org/W2964676347 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Yipeng Liu](https://scholariq.org/researchers/yipeng-liu/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)

## Paper topics

- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Handwritten Text Recognition Techniques](https://scholariq.org/topics/handwritten-text-recognition-techniques/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
