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Patient Outcome Assessment

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Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval methods. However, it is well known that many methodological obstacles exist in accessing data within EHRs....

An algorithm for direct causal learning of influences on patient outcomes.

Artificial intelligence in medicine
OBJECTIVE: This study aims at developing and introducing a new algorithm, called direct causal learner (DCL), for learning the direct causal influences of a single target. We applied it to both simulated and real clinical and genome wide association ...

Using Linked Data for polarity classification of patients' experiences.

Journal of biomedical informatics
Polarity classification is the main subtask of sentiment analysis and opinion mining, well-known problems in natural language processing that have attracted increasing attention in recent years. Existing approaches mainly rely on the subjective part ...