Zobrazeno 1 - 10
of 192
pro vyhledávání: '"Elhadad, Noemie"'
Autor:
Pang, Chao, Jiang, Xinzhuo, Pavinkurve, Nishanth Parameshwar, Kalluri, Krishna S., Minto, Elise L., Patterson, Jason, Zhang, Linying, Hripcsak, George, Gürsoy, Gamze, Elhadad, Noémie, Natarajan, Karthik
Synthetic Electronic Health Records (EHR) have emerged as a pivotal tool in advancing healthcare applications and machine learning models, particularly for researchers without direct access to healthcare data. Although existing methods, like rule-bas
Externí odkaz:
http://arxiv.org/abs/2402.04400
Shapley values have emerged as a foundational tool in machine learning (ML) for elucidating model decision-making processes. Despite their widespread adoption and unique ability to satisfy essential explainability axioms, computational challenges per
Externí odkaz:
http://arxiv.org/abs/2402.04211
Clinician must write a lengthy summary each time a patient is discharged from the hospital. This task is time-consuming due to the sheer number of unique clinical concepts covered in the admission. Identifying and covering salient entities is vital f
Externí odkaz:
http://arxiv.org/abs/2401.02369
Survival analysis is a widely-used technique for analyzing time-to-event data in the presence of censoring. In recent years, numerous survival analysis methods have emerged which scale to large datasets and relax traditional assumptions such as propo
Externí odkaz:
http://arxiv.org/abs/2311.01660
We present a novel stochastic variational Gaussian process ($\mathcal{GP}$) inference method, based on a posterior over a learnable set of weighted pseudo input-output points (coresets). Instead of a free-form variational family, the proposed coreset
Externí odkaz:
http://arxiv.org/abs/2311.01409
Selecting the ``right'' amount of information to include in a summary is a difficult task. A good summary should be detailed and entity-centric without being overly dense and hard to follow. To better understand this tradeoff, we solicit increasingly
Externí odkaz:
http://arxiv.org/abs/2309.04269
Two-step approaches, in which summary candidates are generated-then-reranked to return a single summary, can improve ROUGE scores over the standard single-step approach. Yet, standard decoding methods (i.e., beam search, nucleus sampling, and diverse
Externí odkaz:
http://arxiv.org/abs/2305.17779
Autor:
Adams, Griffin, Nguyen, Bichlien H, Smith, Jake, Xia, Yingce, Xie, Shufang, Ostropolets, Anna, Deb, Budhaditya, Chen, Yuan-Jyue, Naumann, Tristan, Elhadad, Noémie
Summarization models often generate text that is poorly calibrated to quality metrics because they are trained to maximize the likelihood of a single reference (MLE). To address this, recent work has added a calibration step, which exposes a model to
Externí odkaz:
http://arxiv.org/abs/2305.07615
Long-form clinical summarization of hospital admissions has real-world significance because of its potential to help both clinicians and patients. The faithfulness of summaries is critical to their safe usage in clinical settings. To better understan
Externí odkaz:
http://arxiv.org/abs/2303.03948
An assisted living facility (ALF) is a place where someone can live, have access to social supports such as transportation, and receive assistance with the activities of daily living such as toileting and dressing. Despite the important role of ALFs,
Externí odkaz:
http://arxiv.org/abs/2212.14092