Michael J. Tanana

发表

Automated evaluation of psychotherapy skills using speech and language technologies

Shrikanth Narayanan, Shrikanth S. Narayanan, David C. Atkins, 2021, Behavior Research Methods.

Harnessing the potential of administrative data to inform child welfare programming with dynamic visualization methodologies

Michael Tanana, Mindy Vanderloo, Jeffrey D Waid, 2018 .

Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Research (Preprint)

Michael J. Tanana, S. Mooney, Tad Hirsch, 2021 .

Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology

Michael J. Tanana, L. Bickman, M. Sibley, 2023, Cognitive and Behavioral Practice.

Enhancing the quality of cognitive behavioral therapy in community mental health through artificial intelligence generated fidelity feedback (Project AFFECT): a study protocol

Shrikanth S. Narayanan, Zac E. Imel, Torrey A. Creed, 2022, BMC Health Services Research.

Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Research

Michael J. Tanana, S. Mooney, Tad Hirsch, 2021, JMIR research protocols.

Psychometric Racial and Ethnic Predictive Inequities

Howard M Henderson, Michael J. Tanana, J. W. Bourgeois, 2015 .

The accuracy of passive phone sensors in predicting daily mood

David C. Atkins, Michael J. Tanana, S. Mooney, 2018, Depression and anxiety.

A pilot study of audiovisual family meetings in the intensive care unit.

Michael J. Tanana, Michael J Tanana, R. Hoesch, 2015, Journal of critical care.

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

David C. Atkins, Zac E. Imel, Christina S. Soma, 2019, Journal of medical Internet research.

Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions

Sameer Singh, Padhraic Smyth, David C. Atkins, 2019, J. Am. Medical Informatics Assoc..

How do you feel? Using natural language processing to automatically rate emotion in psychotherapy

David C. Atkins, Zac E. Imel, Christina S. Soma, 2021, Behavior Research Methods.

Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database

Vivek Srikumar, David C. Atkins, Zac E. Imel, 2016, CLPsych@HLT-NAACL.

A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing.

David C. Atkins, Zac E. Imel, Kevin A. Hallgren, 2016, Journal of substance abuse treatment.

Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Shrikanth S. Narayanan, David C. Atkins, Zac E. Imel, 2019, Psychotherapy.

The role of siblings in the development of externalizing behaviors during childhood and adolescence: a scoping review

Michael J. Tanana, Jeffrey Waid, Brianne H. Kothari, 2020 .

Supplemental Material for Machine Learning and Natural Language Processing in Psychotherapy Research: Alliance as Example Use Case

Shrikanth S. Narayanan, David C. Atkins, Victor R. Martinez, 2020, Journal of Counseling Psychology.

Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task

David C. Atkins, Zac E. Imel, Simon B. Goldberg, 2020, Psychotherapy Research.

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

Vivek Srikumar, David C. Atkins, Zac E. Imel, 2019, ACL.

Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Padhraic Smyth, Vivek Srikumar, David C. Atkins, 2015, CLPsych@HLT-NAACL.

Technology-Enhanced Human Interaction in Psychotherapy

David C. Atkins, Zac E. Imel, Derek D. Caperton, 2017, Journal of counseling psychology.

Machine-Learning-Based Prediction of Client Distress From Session Recordings

David C. Atkins, Zac E. Imel, Shrikanth S. Narayanan, 2023, Clinical Psychological Science.

Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Shrikanth S. Narayanan, David C. Atkins, Victor R. Martinez, 2020, Journal of counseling psychology.

Automated rating of patient and physician emotion in primary care visits.

David C. Atkins, Zac E. Imel, Michael J. Tanana, 2021, Patient education and counseling.

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

David C. Atkins, Zac E. Imel, Christina S. Soma, 2018, Journal of medical Internet research.

Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning

Zac E. Imel, Christina S. Soma, Torrey A. Creed, 2024, JAMA network open.