Parit Patel

Most-cited papers

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data
Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel +8 more
2023Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies10 citations Open access
Semantic Scholar
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement
Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel +7 more
2024IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies6 citations
Semantic Scholar
Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones
Soumyashree Sahoo, Md. Zakir Hossain, Chinmaey Shende, Parit Patel +10 more
2025ACM Transactions on Intelligent Systems and Technology5 citations Open access
Semantic Scholar
Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome
Soumyashree Sahoo, Md. Zakir Hossain, Chinmaey Shende, Parit Patel +6 more
2025IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies4 citations Open access
Semantic Scholar
Predicting Depression Treatment Outcome Using Daily Step Count Sensory Data
Md. Zakir Hossain, Soumyashree Sahoo, Chinmaey Shende, Parit Patel +8 more
2025ACM Transactions on Computing for Healthcare4 citations Open access
Semantic Scholar
Is Telehealth a Feasible Mode of Intervention Delivery to Improve Social Communication Skills in Children With Autism Spectrum Disorder? Results From a Pilot Randomized Controlled Trial
Ashlie N Delskey, Parit Patel, Nidhi Amonkar, Sudha M Srinivasan +3 more
2023Iproceedings1 citations Open access
Semantic Scholar
The Prediction of Suicidal Ideation as a Function of Daily Mood and Anxiety Scores Collected Using mHealth Technology in Patients Undergoing Treatment for Depression
Parit Patel, G. Chan, Bing Wang, J. Kamath
2022Iproceedings1 citations Open access
Semantic Scholar

Most-cited papers

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data

Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement

Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones

Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome

Predicting Depression Treatment Outcome Using Daily Step Count Sensory Data

Is Telehealth a Feasible Mode of Intervention Delivery to Improve Social Communication Skills in Children With Autism Spectrum Disorder? Results From a Pilot Randomized Controlled Trial

The Prediction of Suicidal Ideation as a Function of Daily Mood and Anxiety Scores Collected Using mHealth Technology in Patients Undergoing Treatment for Depression