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2020 – today
- 2024
[j7]Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg:
A novel estimator for the two-way partial AUC. BMC Medical Informatics Decis. Mak. 24(1): 57 (2024)- 2022
- [i4]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:
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. CoRR abs/2206.14181 (2022) - [i3]Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin:
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. CoRR abs/2208.01230 (2022) - 2021
- [j6]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:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - 2020
- [j5]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:
Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study. J. Am. Medical Informatics Assoc. 27(7): 1007-1018 (2020) - [j4]Phil Snyder, Meghasyam Tummalacherla, Thanneer Malai Perumal, Larsson Omberg:
mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data. J. Open Source Softw. 5(47): 2106 (2020) - [j3]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:
Indicators of retention in remote digital health studies: a cross-study evaluation of 100, 000 participants. npj Digit. Medicine 3 (2020) - [c5]Young Hwan Chang, Jeremy Linsley, Josh Lamstein, Jaslin Kalra, Irina Epstein, Mariya Barch, Kenneth Daily, Phil Snyder, Larsson Omberg, Laura Heiser, Steven Finkbeiner:
Single cell tracking based on Voronoi partition via stable matching. CDC 2020: 5086-5091 - [i2]Elias Chaibub Neto, Phil Snyder, Solveig K. Sieberts, Larsson Omberg:
Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features. CoRR abs/2011.04128 (2020)
2010 – 2019
- 2019
- [j2]Sumit Mukherjee, Thanneer M. Perumal, Kenneth Daily, Solveig K. Sieberts, Larsson Omberg, Christoph Preuss, Gregory W. Carter, Lara M. Mangravite, Benjamin A. Logsdon:
Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation. Bioinform. 35(14): i568-i576 (2019) - [j1]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:
Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digit. Medicine 2 (2019) - [c4]Sonali R. Mishra, Predrag V. Klasnja, John MacDuffie Woodburn, Eric B. Hekler, Larsson Omberg, Michael Kellen, Lara M. Mangravite:
Supporting Coping with Parkinson's Disease Through Self Tracking. CHI 2019: 107 - [c3]Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Brian M. Bot, Lara M. Mangravite, Larsson Omberg:
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health. KDD 2019: 54-64 - [i1]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:
Indicators of retention in remote digital health studies: A cross-study evaluation of 100, 000 participants. CoRR abs/1910.01165 (2019) - 2018
- [c2]Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg:
Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial Sensors. UbiComp/ISWC Adjunct 2018: 215-218 - 2016
- [c1]Elias Chaibub Neto, Brian M. Bot, Thanneer M. Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, Andrew D. Trister:
Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. PSB 2016: 273-284
Coauthor Index
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