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2020 – today
- 2024
[j6]Wei A. Huang
, Matthew Engelhard, Marika Coffman, Elliot D. Hill, Qin Weng, Abby Scheer, Gary Maslow, Ricardo Henao, Geraldine Dawson, Benjamin Alan Goldstein:
A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J. Biomed. Informatics 157: 104711 (2024)- [j5]Minghui Sun, Matthew M. Engelhard, Armando Bedoya, Benjamin Goldstein:
Incorporating informatively collected laboratory data from EHR in clinical prediction models. BMC Medical Informatics Decis. Mak. 24(4): 206 (2024) - [c12]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard:
Adaptive Discretization for Event PredicTion (ADEPT). AISTATS 2024: 1351-1359 - [i5]Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page:
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance. CoRR abs/2408.01869 (2024) - 2023
- [j4]Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson:
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023) - [i4]Boyao Li, Alexandar J. Thomson, Matthew M. Engelhard, David Page:
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models. CoRR abs/2305.17583 (2023) - [i3]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard:
Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR abs/2310.15853 (2023) - 2022
- [c11]Matthew Engelhard, Ricardo Henao:
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. AISTATS 2022: 9571-9581 - 2021
- [c10]Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin:
SpanPredict: Extraction of Predictive Document Spans with Neural Attention. NAACL-HLT 2021: 5234-5258 - 2020
- [j3]Matthew M. Engelhard, Jason A. Oliver, F. Joseph McClernon:
Digital envirotyping: quantifying environmental determinants of health and behavior. npj Digit. Medicine 3 (2020) - [c9]Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. MLHC 2020: 223-244 - [i2]Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao:
Neural Conditional Event Time Models. CoRR abs/2004.01376 (2020)
2010 – 2019
- 2019
- [c8]Shanshan Chen, Robert Perera, Matthew M. Engelhard, Jessica R. Lunsford-Avery, Scott H. Kollins, Bernard F. Fuemmeler:
A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data. BHI 2019: 1-4 - 2018
- [j2]Sriram Raju Dandu, Matthew M. Engelhard, Asma Qureshi, Jiaqi Gong, John C. Lach, Maïté Brandt-Pearce, Myla D. Goldman:
Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis. IEEE J. Biomed. Health Informatics 22(1): 40-46 (2018) - [c7]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. MLHC 2018: 312-331 - [i1]Matthew Engelhard, Hongteng Xu, Lawrence Carin, Jason A. Oliver, Matthew Hallyburton, F. Joseph McClernon:
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model. CoRR abs/1809.01740 (2018) - 2017
- [j1]Matthew M. Engelhard, Stephen D. Patek, Kristina Sheridan, John C. Lach, Myla D. Goldman:
Remotely engaged: Lessons from remote monitoring in multiple sclerosis. Int. J. Medical Informatics 100: 26-31 (2017) - [c6]Asma Qureshi, Maïté Brandt-Pearce, Matthew M. Engelhard, Myla D. Goldman:
Relationship between kernel density function estimates of gait time series and clinical data. BHI 2017: 329-332 - [c5]Asma Qureshi, Matthew M. Engelhard, Maïté Brandt-Pearce, Myla D. Goldman:
Demonstrating the real-world significance of the mid-swing to heel strike part of the gait cycle using spectral features. BSN 2017: 133-136 - 2016
- [c4]Sriram Raju Dandu, Matthew Engelhard, Myla D. Goldman, John C. Lach:
Determining physiological significance of inertial gait features in multiple sclerosis. BSN 2016: 266-271 - [c3]Matthew M. Engelhard, John C. Lach, Karen M. Schmidt, Myla D. Goldman, Stephen D. Patek:
Adaptive symptom reporting for mobile patient-reported disability assessment. Wireless Health 2016: 172-179 - 2015
- [c2]Matthew Engelhard, Sriram Raju Dandu, John C. Lach, Myla D. Goldman, Stephen D. Patek:
Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping. BODYNETS 2015 - [c1]Jiaqi Gong, Matthew Engelhard, Myla D. Goldman, John C. Lach:
Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis. BODYNETS 2015
Coauthor Index
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