Diane Cook

Regents Professor and Huie-Rogers Chair

Washington State University

United States

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Diane Cook is a Regents Professor and Huie-Rogers Chair at Washington State University in the United States. Her research focuses on cognitive health assessment technologies, particularly in rural and underresourced settings, and the use of large language models in health forecasting. Recent publications include studies on behavior detection in older adults, human activity recognition, and cognitive capacity assessment through innovative methodologies.

Articles (21)

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2020

Collaborators (7)

Maureen Schmitter-Edgecombe

H. L Eastlick Professor of Psychology

Washington State University

UNITED STATES

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Christine L Williams

Professor Emerita

UNITED STATES

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SHENGHAI DAI

Associate Professor

Washington State University

UNITED STATES

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Lawrence B. Holder

Washington State University

UNITED STATES

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Hassan Ghasemzadeh

Arizona State University

UNITED STATES

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Roschelle L. Fritz

Washington State University

UNITED STATES

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Lisa Ann Kirk Wiese

Associate Professor

UNITED STATES

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Diane Cook

Research Interests

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About

Articles (21)

Detecting Older Adults’ Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal Observational Study

Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.

A multi-generational approach to introducing technologies for assessing and supporting cognitive health in a rural, underresourced setting

CogProg: Utilizing Large Language Models to Forecast In-the-Moment Health Assessment

Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis

Rural Roads to cognitive Resilience (RRR): A prospective cohort study protocol

Hydra-TS: Enhancing Human Activity Recognition With Multiobjective Synthetic Time-Series Data Generation

Bioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity

Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment

HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

But will they use it? Predictors of adoption of an electronic memory aid in individuals with amnestic mild cognitive impairment.

Piloting Smart Home Sensors to Detect Overnight Respiratory and Withdrawal Symptoms in Adults Prescribed Opioids

The Indoor Predictability of Human Mobility: Estimating Mobility With Smart Home Sensors

CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning

Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction

Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention

Remote Monitoring of the Performance Status and Burden of Symptoms of Patients With Gastrointestinal Cancer Via a Consumer-Based Activity Tracker: Quantitative Cohort Study

Behavioral Differences Between Subject Groups Identified Using Smart Homes and Change Point Detection

Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores

Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

Collaborators (7)

Maureen Schmitter-Edgecombe

Christine L Williams

SHENGHAI DAI

Lawrence B. Holder

Hassan Ghasemzadeh

Roschelle L. Fritz

Lisa Ann Kirk Wiese

Make your next move.

Diane Cook

Research Interests

Explore related searches

Contact this professor

About

Articles (21)

Detecting Older Adults’ Behavior Changes During Adverse External Events Using Ambient Sensing: Longitudinal Observational Study

Capturing cognitive capacity in the everyday environment across a continuum of cognitive decline using a smartwatch n-back task and ecological momentary assessment.

A multi-generational approach to introducing technologies for assessing and supporting cognitive health in a rural, underresourced setting

CogProg: Utilizing Large Language Models to Forecast In-the-Moment Health Assessment

Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis

Rural Roads to cognitive Resilience (RRR): A prospective cohort study protocol

Hydra-TS: Enhancing Human Activity Recognition With Multiobjective Synthetic Time-Series Data Generation

Bioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity​

Predicting daily cognition and lifestyle behaviors for older adults using smart home data and ecological momentary assessment

HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation

Building a Human Digital Twin (HDTwin) Using Large Language Models for Cognitive Diagnosis: Algorithm Development and Validation

But will they use it? Predictors of adoption of an electronic memory aid in individuals with amnestic mild cognitive impairment.

Piloting Smart Home Sensors to Detect Overnight Respiratory and Withdrawal Symptoms in Adults Prescribed Opioids

The Indoor Predictability of Human Mobility: Estimating Mobility With Smart Home Sensors

CALDA: Improving Multi-Source Time Series Domain Adaptation With Contrastive Adversarial Learning

Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction

Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention

Remote Monitoring of the Performance Status and Burden of Symptoms of Patients With Gastrointestinal Cancer Via a Consumer-Based Activity Tracker: Quantitative Cohort Study

Behavioral Differences Between Subject Groups Identified Using Smart Homes and Change Point Detection

Fusing Ambient and Mobile Sensor Features Into a Behaviorome for Predicting Clinical Health Scores

Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis

Collaborators (7)

Maureen Schmitter-Edgecombe

Christine L Williams

SHENGHAI DAI

Lawrence B. Holder

Hassan Ghasemzadeh

Roschelle L. Fritz

Lisa Ann Kirk Wiese

Make your next move.

Bioethics Principles in Machine Learning-Healthcare Application Design: Achieving Health Justice and Health Equity