# Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-classification-of-medication-adherence-in-patients-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Conrad S. Tucker,Ishan Behoora,Harriet Black Nembhard,Mechelle M. Lewis,Nicholas W. Sterling,Xuemei Huang |
| Citations | 87 |
| DOI | 10.1016/j.compbiomed.2015.08.012 |
| Fields | Engineering,Health Professions,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/5729888 |
| OpenAlex ID | https://openalex.org/W1425868093 |
| PMID | 26406881 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Conrad S. Tucker](https://scholariq.org/researchers/conrad-s-tucker/)

## Paper primary topic

- [Parkinson's Disease Mechanisms and Treatments](https://scholariq.org/topics/parkinson-s-disease-mechanisms-and-treatments/)

## Paper topics

- [Parkinson's Disease Mechanisms and Treatments](https://scholariq.org/topics/parkinson-s-disease-mechanisms-and-treatments/)
- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

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