Peter Yigitcan Washington (Peter Washington)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 56

Top Topics

Machine Learning

Autism Spectrum Disorder

Top Venues

JMIR research protocols

Journal of medical Internet research

JMIR formative research

This page only lists publications with an associated author ORCID identifier.

Publications

Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis Paul Wall, Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR research protocols 13 (2024)
Aditi Jaiswal, Peter Yigitcan Washington
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis Paul Wall, Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR research protocols 13 (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Peter Yigitcan Washington
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of medical Internet research 26 (2024)
Peter Yigitcan Washington
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of medical Internet research 26 (2024)
Aditi Jaiswal, Aekta Shah, Christopher Harjadi, Erik Windgassen, Peter Yigitcan Washington
Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Aditi Jaiswal, Aekta Shah, Christopher Harjadi, Erik Windgassen, Peter Yigitcan Washington
Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Tanvir Islam, Peter Yigitcan Washington
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors 14 (4) (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Aditi Jaiswal, Aekta Shah, Christopher Harjadi, Erik Windgassen, Peter Yigitcan Washington
Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping. JMIR formative research 8 (2024)
Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis Paul Wall, Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR research protocols 13 (2024)
Tanvir Islam, Peter Yigitcan Washington
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors 14 (4) (2024)
Peter Yigitcan Washington
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of medical Internet research 26 (2024)
Ali Kargarandehkordi, Christopher Slade, Peter Yigitcan Washington
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR research protocols 13 (2024)
Aditi Jaiswal, Aekta Shah, Christopher Harjadi, Erik Windgassen, Peter Yigitcan Washington
Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping. JMIR formative research 8 (2024)
Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis Paul Wall, Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR research protocols 13 (2024)
Peranut Nimitsurachat, Peter Yigitcan Washington
Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space. AI (Basel, Switzerland) 5 (1) (2024)
Joe Li, Peter Yigitcan Washington
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study. JMIR AI 3 (2024)
Peter Yigitcan Washington
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of medical Internet research 26 (2024)
Tanvir Islam, Peter Yigitcan Washington
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors 14 (4) (2024)
Ali Kargarandehkordi, Christopher Slade, Peter Yigitcan Washington
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR research protocols 13 (2024)
Peranut Nimitsurachat, Peter Yigitcan Washington
Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space. AI (Basel, Switzerland) 5 (1) (2024)
Aditi Jaiswal, Peter Yigitcan Washington
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Ali Kargarandehkordi, Christopher Slade, Peter Yigitcan Washington
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR research protocols 13 (2024)
Aditi Jaiswal, Peter Yigitcan Washington
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Ali Kargarandehkordi, Christopher Slade, Peter Yigitcan Washington
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR research protocols 13 (2024)
Tanvir Islam, Peter Yigitcan Washington
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors 14 (4) (2024)
Peter Yigitcan Washington
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of medical Internet research 26 (2024)
Yinan Sun, Ali Kargarandehkordi, Christopher Slade, Aditi Jaiswal, Gerald Busch, Anthony P S Guerrero, Kristina T Phillips, Peter Yigitcan Washington
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR research protocols 13 (2024)
Peranut Nimitsurachat, Peter Yigitcan Washington
Audio-Based Emotion Recognition Using Self-Supervised Learning on an Engineered Feature Space. AI (Basel, Switzerland) 5 (1) (2024)
Ali Kargarandehkordi, Christopher Slade, Peter Yigitcan Washington
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR research protocols 13 (2024)
Yinan Sun, Ali Kargarandehkordi, Christopher Slade, Aditi Jaiswal, Gerald Busch, Anthony P S Guerrero, Kristina T Phillips, Peter Yigitcan Washington
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR research protocols 13 (2024)
Yinan Sun, Ali Kargarandehkordi, Christopher Slade, Aditi Jaiswal, Gerald Busch, Anthony P S Guerrero, Kristina T Phillips, Peter Yigitcan Washington
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR research protocols 13 (2024)
Yinan Sun, Ali Kargarandehkordi, Christopher Slade, Aditi Jaiswal, Gerald Busch, Anthony P S Guerrero, Kristina T Phillips, Peter Yigitcan Washington
Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR research protocols 13 (2024)
Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis Paul Wall, Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR research protocols 13 (2024)
Tanvir Islam, Peter Yigitcan Washington
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors 14 (4) (2024)
Aditi Jaiswal, Peter Yigitcan Washington
Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR formative research 8 (2024)
Peter Yigitcan Washington
Digitally Diagnosing Multiple Developmental Delays using Crowdsourcing fused with Machine Learning: A Research Protocol. medRxiv : the preprint server for health sciences (2023)
Shubham Parab, Jerry Boster, Peter Yigitcan Washington
Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study. JMIR formative research 7 (2023)
Kelley Paskov, Brianna Sierra Chrisman, Nathaniel Stockham, Peter Yigitcan Washington, Kaitlyn Dunlap, Jae-Yoon Jung, Dennis Paul Wall
Identifying crossovers and shared genetic material in whole genome sequencing data from families. Genome research (2023)
Peter Yigitcan Washington
Personalized Machine Learning using Passive Sensing and Ecological Momentary Assessments for Meth Users in Hawaii: A Research Protocol. medRxiv : the preprint server for health sciences (2023)
Maya Varma, Peter Yigitcan Washington, Brianna Sierra Chrisman, Aaron Kline, Emilie Leblanc, Kelley Paskov, Nate Tyler Stockham, Jae-Yoon Jung, Min Woo Sun, Dennis Paul Wall
Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Journal of medical Internet research 24 (2) (2022)
Peter Yigitcan Washington, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou, Onur Cezmi Mutlu, Kaitlyn L Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis Paul Wall
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR pediatrics and parenting 5 (2) (2022)
Nate Tyler Stockham, Peter Yigitcan Washington, Brianna Sierra Chrisman, Kelley Paskov, Jae-Yoon Jung, Dennis Paul Wall
Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation. JMIR public health and surveillance 8 (7) (2022)
Nathan A Chi, Peter Yigitcan Washington, Aaron Kline, Arman Husic, Cathy Hou, Chloe He, Kaitlyn L Dunlap, Dennis Paul Wall
Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study. JMIR pediatrics and parenting 5 (2) (2022)
Cynthia Shih, Ruhi Pudipeddi, Arany Uthayakumar, Peter Yigitcan Washington
A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study. JMIRx med 2 (4) (2021)
Peter Yigitcan Washington, Emilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Kelley Paskov, Min Woo Sun, Brianna Sierra Chrisman, Nathaniel Stockham, Maya Varma, Catalin Voss, Nick Haber, Dennis Paul Wall
Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of personalized medicine 10 (3) (2020)
Haik Kalantarian, Khaled Jedoui, Kaitlyn L Dunlap, Jessey Nicole Schwartz, Peter Yigitcan Washington, Arman Husic, Qandeel Tariq, Michael Ning, Aaron Kline, Dennis Paul Wall
The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study. JMIR mental health 7 (4) (2020)
Peter Yigitcan Washington, Haik Kalantarian, Qandeel Tariq, Jessey Nicole Schwartz, Kaitlyn L Dunlap, Brianna Sierra Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nate Tyler Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall
Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of medical Internet research 21 (6) (2019)
Peter Yigitcan Washington, Karina G Samuel-Gama, Shirish Goyal, Ashwin Ramaswami, Ingmar H Riedel-Kruse
Interactive programming paradigm for real-time experimentation with remote living matter. Proceedings of the National Academy of Sciences of the United States of America 116 (12) (2019)
Michael Ning, Jena Daniels, Jessey Nicole Schwartz, Kaitlyn L Dunlap, Peter Yigitcan Washington, Haik Kalantarian, Michael Du, Dennis Paul Wall
Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological Study. Journal of medical Internet research 21 (7) (2019)
Qandeel Tariq, Scott Lanyon Fleming, Jessey Nicole Schwartz, Kaitlyn L Dunlap, Conor K Corbin, Peter Yigitcan Washington, Haik Kalantarian, Naila Z Khan, Gary L Darmstadt, Dennis Paul Wall
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study. Journal of medical Internet research 21 (4) (2019)
Peter Yigitcan Washington, Haik Kalantarian, Qandeel Tariq, Jessey Nicole Schwartz, Kaitlyn L Dunlap, Brianna Sierra Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nate Tyler Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall
Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of medical Internet research 21 (5) (2019)
Qandeel Tariq, Jena Daniels, Jessey Nicole Schwartz, Peter Yigitcan Washington, Haik Kalantarian, Dennis Paul Wall
Mobile detection of autism through machine learning on home video: A development and prospective validation study. PLoS medicine 15 (11) (2018)