Meghasyam Tummalacherla

According to our database, Meghasyam Tummalacherla authored at least 4 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data.

Phil Snyder, Meghasyam Tummalacherla, Thanneer Malai Perumal, Larsson Omberg

J. Open Source Softw., 2020

2019

Detecting the impact of subject characteristics on machine learning-based diagnostic applications.

Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2019

A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health.

Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors.

Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018