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Matthew Engelhard
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2020 – today
- 2024
- [j6]Wei A. Huang
, Matthew Engelhard
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
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
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
A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data. BHI 2019: 1-4 - 2018
- [j2]Sriram Raju Dandu
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
Remotely engaged: Lessons from remote monitoring in multiple sclerosis. Int. J. Medical Informatics 100: 26-31 (2017) - [c6]Asma Qureshi, Maïté Brandt-Pearce
Relationship between kernel density function estimates of gait time series and clinical data. BHI 2017: 329-332 - [c5]Asma Qureshi, Matthew M. Engelhard
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
Determining physiological significance of inertial gait features in multiple sclerosis. BSN 2016: 266-271 - [c3]Matthew M. Engelhard
Adaptive symptom reporting for mobile patient-reported disability assessment. Wireless Health 2016: 172-179 - 2015
- [c2]Matthew Engelhard
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
Correlations between Inertial Body Sensor Measures and Clinical Measures in Multiple Sclerosis. BODYNETS 2015
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last updated on 2024-12-10 21:47 CET by the dblp team
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