HealthPoint represents clinical events as points in a 4D space (content, time, modality, case) and applies low-rank relational attention to achieve state-of-the-art mortality prediction from multi-level incomplete multimodal EHRs.
Mimic- iv, a freely accessible electronic health record dataset
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 3years
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UNVERDICTED 3representative citing papers
NPCNet is a deep clustering model that converts EHR data to pseudo texts and uses a navigator module to align sepsis phenotypes with clinical knowledge.
Offline RL for ICU sedation shows that adding 30-day mortality to the objective yields policies whose clinician agreement correlates negatively with mortality, unlike pain-only versions.
citing papers explorer
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A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs
HealthPoint represents clinical events as points in a 4D space (content, time, modality, case) and applies low-rank relational attention to achieve state-of-the-art mortality prediction from multi-level incomplete multimodal EHRs.
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NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping
NPCNet is a deep clustering model that converts EHR data to pseudo texts and uses a navigator module to align sepsis phenotypes with clinical knowledge.
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On Safer Reinforcement Learning for Sedation and Analgesia in Intensive Care
Offline RL for ICU sedation shows that adding 30-day mortality to the objective yields policies whose clinician agreement correlates negatively with mortality, unlike pain-only versions.