Peter Washington
Overview
Explore the profile of Peter Washington including associated specialties, affiliations and a list of published articles.
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52
Citations
608
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Recent Articles
1.
Singh R, Tetrick M, Fisher J, Washington P, Yu J, Paskett E, et al.
J Med Internet Res
. 2024 Dec;
26:e65095.
PMID: 39658010
Background: To date, no studies have examined adherence to the 2018 Physical Activity Guidelines for Americans (PAGA) in real-world longitudinal settings using objectively measured activity monitoring data. This study addresses...
2.
Slade C, Benzo R, Washington P
J Med Internet Res
. 2024 Nov;
26:e55694.
PMID: 39556828
Background: Machine learning models often use passively recorded sensor data streams as inputs to train machine learning models that predict outcomes captured through ecological momentary assessments (EMA). Despite the growth...
3.
Islam T, Washington P
Appl Sci (Basel)
. 2024 Nov;
13(21).
PMID: 39507765
Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile...
4.
Jaiswal A, Shah A, Harjadi C, Windgassen E, Washington P
JMIR Form Res
. 2024 Jul;
8:e59349.
PMID: 39018561
[This corrects the article DOI: 10.2196/52660.].
5.
Jaiswal A, Shah A, Harjadi C, Windgassen E, Washington P
JMIR Form Res
. 2024 Jul;
8:e59794.
PMID: 39018549
Digital phenotyping, or personal sensing, is a field of research that seeks to quantify traits and characteristics of people using digital technologies, usually for health care purposes. In this commentary,...
6.
Soltan A, Washington P
Algorithms
. 2024 Jul;
17(4).
PMID: 38962581
Breast cancer is the most common cancer affecting women globally. Despite the significant impact of deep learning models on breast cancer diagnosis and treatment, achieving fairness or equitable outcomes across...
7.
Li J, Washington P
JMIR AI
. 2024 Jun;
3:e52171.
PMID: 38875573
Background: There are a wide range of potential adverse health effects, ranging from headaches to cardiovascular disease, associated with long-term negative emotions and chronic stress. Because many indicators of stress...
8.
Nimitsurachat P, Washington P
AI (Basel)
. 2024 May;
5(1):195-207.
PMID: 38715564
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media analysis. While the field of affective...
9.
Islam T, Washington P
Biosensors (Basel)
. 2024 Apr;
14(4).
PMID: 38667177
The rapid development of biosensing technologies together with the advent of deep learning has marked an era in healthcare and biomedical research where widespread devices like smartphones, smartwatches, and health-specific...
10.
Washington P
J Med Internet Res
. 2024 Apr;
26:e51138.
PMID: 38602750
Modern machine learning approaches have led to performant diagnostic models for a variety of health conditions. Several machine learning approaches, such as decision trees and deep neural networks, can, in...