Larsson Omberg

According to our database, Larsson Omberg authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

A novel estimator for the two-way partial AUC.

Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg

BMC Medical Informatics Decis. Mak., December, 2024

2022

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models.

Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin

CoRR, 2022

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models.

Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas J. Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A. Eddy, Justin Guinney, Sean D. Mooney, Thomas Schaffter

CoRR, 2022

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

2020

Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants.

Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patrick J. Heagerty, Pat A. Areán, Larsson Omberg

npj Digit. Medicine, 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

Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study.

Claudia Vesel, Homa Rashidisabet, John Zulueta, Jonathan P. Stange, Jennifer Duffecy, Faraz Hussain, Andrea Piscitello, John S. Bark, Scott A. Langenecker, Shannon Young, Erin Mounts, Larsson Omberg, Peter C. Nelson, Raeanne C. Moore, Dave Koziol, Keith Bourne, Casey C. Bennett, Olusola Ajilore, Alexander P. Demos, Alex D. Leow

J. Am. Medical Informatics Assoc., 2020

Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features.

Elias Chaibub Neto, Phil Snyder, Solveig K. Sieberts, Larsson Omberg

CoRR, 2020

Single cell tracking based on Voronoi partition via stable matching.

Young Hwan Chang, Jeremy Linsley, Josh Lamstein, Jaslin Kalra, Irina Epstein, Mariya Barch, Kenneth Daily, Phil Snyder, Larsson Omberg, Laura Heiser, Steven Finkbeiner

Proceedings of the 59th IEEE Conference on Decision and Control, 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

Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants.

Abhishek Pratap, Elias Chaibub Neto, Phil Snyder, Carl Stepnowsky, Noémie Elhadad, Daniel Grant, Matthew H. Mohebbi, Sean D. Mooney, Christine Suver, John Wilbanks, Lara M. Mangravite, Patricki J. Heagerty, Pat A. Areán, Larsson Omberg

CoRR, 2019

Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation.

Sumit Mukherjee, Thanneer M. Perumal, Kenneth Daily, Solveig K. Sieberts, Larsson Omberg, Christoph Preuss, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon

Bioinform., 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

Supporting Coping with Parkinson's Disease Through Self Tracking.

Sonali R. Mishra, Predrag V. Klasnja, John MacDuffie Woodburn, Eric B. Hekler, Larsson Omberg, Michael Kellen, Lara M. Mangravite

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 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

2016

Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data.

Elias Chaibub Neto, Brian M. Bot, Thanneer M. Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, Andrew D. Trister

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016