Papers.nips.cc

Retrieve, Reason, and Refine: Generating Accurate and Faithful

WEBAuthors. Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David Clifton. Abstract. The "Patient Instruction" (PI), which contains …

Actived: 8 days ago

URL: https://papers.nips.cc/paper_files/paper/2022/hash/77c08a6e68ae25433f1d117283c0e312-Abstract-Conference.html

PulseImpute: A Novel Benchmark Task for Pulsative Physiological …

WEBAuthors. Maxwell Xu, Alexander Moreno, Supriya Nagesh, Varol Aydemir, David Wetter, Santosh Kumar, James M. Rehg. Abstract. The promise of Mobile Health (mHealth) is …

Category: Health Go Health

List of Proceedings

WEBFrom 2022 on, the Datasets and Benchmarks papers are in the main NeurIPS proceedings. Advances in Neural Information Processing Systems Datasets and Benchmarks, 2021. …

Category: Health Go Health

MiME: Multilevel Medical Embedding of Electronic Health Records …

WEBAuthors. Edward Choi, Cao Xiao, Walter Stewart, Jimeng Sun. Abstract. Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using …

Category: Health Go Health

RETAIN: An Interpretable Predictive Model for Healthcare using

WEBRETAIN achieves high accuracy while remaining clinically interpretable and is based on a two-level neural attention model that detects influential past visits and significant clinical …

Category: Health Go Health

mRI: Multi-modal 3D Human Pose Estimation Dataset using …

WEBAuthors. Sizhe An, Yin Li, Umit Ogras. Abstract. The ability to estimate 3D human body pose and movement, also known as human pose estimation (HPE), enables many …

Category: Health Go Health

RETAIN: An Interpretable Predictive Model for Healthcare …

WEBRETAIN achieves high accuracy while remaining clinically interpretable and is based on a two-level neural attention model that detects influential past visits and signifi-cant clinical …

Category: Health Go Health

Attentive State-Space Modeling of Disease Progression

WEBWe model the progression trajectory of the target disease via a state-space representation. That is, at each time step t, the patient’s health is characterized by a state zt 2 Z which …

Category: Health Go Health

Reliable and Trustworthy Machine Learning for Health Using

WEBReliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak Patel

Category: Health Go Health

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health …

WEBWe present a new text-to-SQL dataset for electronic health records (EHRs). The utterances were collected from 222 hospital staff, including physicians, nurses, insurance review …

Category: Health Go Health

Forecasting Treatment Responses Over Time Using Recurrent

WEBDrawing inspiration from marginal structural models, a class of methods in epidemiology which use propensity weighting to adjust for time-dependent confounders, we introduce …

Category: Health Go Health

Collapsing Bandits and Their Application to Public Health …

WEBCollapsing Bandits and Their Application to Public Health Intervention. Part of Advances in Neural Information Processing Systems 33 (NeurIPS 2020) Aditya Mate, Jackson Killian, …

Category: Health Go Health

Language Models are Few-Shot Learners

WEBLanguage Models are Few-Shot Learners. Part of Advances in Neural Information Processing Systems 33 (NeurIPS 2020) AuthorFeedback Bibtex MetaReview Paper …

Category: Health Go Health

Multi-Task Temporal Shift Attention Networks for On-Device …

WEBMulti-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Xin Liu 1, Josh Fromm3, Shwetak Patel , Daniel McDuff2 Paul G. Allen …

Category: Health Go Health

Language models enable zero-shot prediction of the effects of

WEBLanguage models enable zero-shot prediction of the effects of - NIPS

Category: Health Go Health

Large Language Models are Zero-Shot Reasoners

WEBAbstract. Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners …

Category: Health Go Health

Debiased, Longitudinal and Coordinated Drug Recommendation

WEBWe assume that there are three key factors to be addressed in drug recommendation: 1) elimination of recommendation bias due to limitations of observable information, 2) …

Category: Health Go Health

Time-series Generative Adversarial Networks

WEBIn this paper, we propose a novel mechanism to tie together both threads of research, giving rise to a generative model explicitly trained to preserve temporal dynamics. We …

Category: Health Go Health

ESCADA: Efficient Safety and Context Aware Dose Allocation …

WEB§5. T1DM is characterized by insulin deficiency due to pancreaticβ-cell loss, and it can have adverse effects which might result in hospitalization and death [6].

Category: Health Go Health

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