AIMC Topic: Medical Informatics Applications
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Temporal indexing of medical entity in Chinese clinical notes.
BMC medical informatics and decision making
Jan 31, 2019
BACKGROUND: The goal of temporal indexing is to select an occurred time or time interval for each medical entity in clinical notes, so that all medical entities can be indexed on a united timeline, which could assist the understanding of clinical not...
Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text.
BMC medical informatics and decision making
Jan 31, 2019
BACKGROUND: Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to clinical relation extraction...
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records.
BMC medical informatics and decision making
Jan 10, 2019
BACKGROUND: Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to reduce the ...
SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields.
BMC medical informatics and decision making
Dec 7, 2018
BACKGROUND: Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease...
Towards stroke prediction using electronic health records.
BMC medical informatics and decision making
Dec 4, 2018
BACKGROUND: As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis of stroke within one year of t...
Combination of conditional random field with a rule based method in the extraction of PICO elements.
BMC medical informatics and decision making
Dec 4, 2018
BACKGROUND: Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics is complex to capture it fro...
PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.
IEEE journal of biomedical and health informatics
May 2, 2018
Real-time analysis of streaming physiological data to identify earlier abnormal conditions is an important aspect of precision medicine. However, open-source systems supporting this workflow are lacking. In this paper, we present PhysOnline, a pipeli...
Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.
IEEE journal of biomedical and health informatics
Jan 30, 2018
With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by remote healthcare...
Medical diagnosis as a linguistic game.
BMC medical informatics and decision making
Jul 10, 2017
BACKGROUND: We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.
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