AIMC Topic: Information Storage and Retrieval

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Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing.

PloS one Mar 3, 2021
BACKGROUND: Tuberculosis (TB) is a major cause of death worldwide. TB research draws heavily on clinical cohorts which can be generated using electronic health records (EHR), but granular information extracted from unstructured EHR data is limited. T...
Information Storage and Retrieval Humans Male Hospitals Natural Language Processing Tuberculosis Ontario Electronic Health Records Female Databases, Factual Retrospective Studies
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Taking a Closed-Book Examination: Decoupling KB-Based Inference by Virtual Hypothesis for Answering Real-World Questions.

Computational intelligence and neuroscience Feb 22, 2021
Complex question answering in real world is a comprehensive and challenging task due to its demand for deeper question understanding and deeper inference. Information retrieval is a common solution and easy to implement, but it cannot answer question...
Knowledge Bases Semantics Information Storage and Retrieval
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Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach.

Journal of biomedical informatics Feb 18, 2021
Pathology reports represent a primary source of information for cancer registries. Hospitals routinely process high volumes of free-text reports, a valuable source of information regarding cancer diagnosis for improving clinical care and supporting r...
Humans Language Information Storage and Retrieval Neoplasms Natural Language Processing Italy
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Information retrieval on oncology knowledge base using recursive paraphrase lattice.

Journal of biomedical informatics Feb 11, 2021
For annotation in cancer genomic medicine, oncologists have to refer to various knowledge bases worldwide and retrieve all information (e.g., drugs, clinical trials, and academic papers) related to a gene variant. However, oncologists find it difficu...
Knowledge Bases Language Medical Oncology Information Storage and Retrieval
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CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 5, 2021
Light field (LF) cameras provide rich spatio-angular visual representations by sensing the visual scene from multiple perspectives and have recently emerged as a promising technology to boost the performance of human-machine systems such as biometric...
Facial Expression Deep Learning Image Processing, Computer-Assisted Information Storage and Retrieval Face Automated Facial Recognition Female Male Humans
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Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.

Journal of medical Internet research Jan 27, 2021
BACKGROUND: The electronic health record (EHR) contains a wealth of medical information. An organized EHR can greatly help doctors treat patients. In some cases, only limited patient information is collected to help doctors make treatment decisions. ...
Algorithms Electronic Health Records Humans Male Natural Language Processing Information Storage and Retrieval Female Adult
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Patient Cohort Retrieval using Transformer Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
We apply deep learning-based language models to the task of patient cohort retrieval (CR) with the aim to assess their efficacy. The task ofCR requires the extraction of relevant documents from the electronic health records (EHRs) on the basis of a g...
Cohort Studies Natural Language Processing Information Storage and Retrieval Humans Electronic Health Records Language Deep Learning
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EffiCare: Better Prognostic Models via Resource-Efficient Health Embeddings.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Recent medical prognostic models adapted from high data-resource fields like language processing have quickly grown in complexity and size. However, since medical data typically constitute low data-resource settings, performances on tasks like clinic...
Intensive Care Units Electronic Health Records Machine Learning Humans Benchmarking Information Storage and Retrieval Clinical Decision Rules Prognosis Data Mining
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SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
New medical research concerning the spine and its diseases are incrementally made available through biomedical literature repositories. Several Natural Language Processing (NLP) tasks, like Semantic Role Labelling (SRL) and Information Extraction (IE...
Semantics Spine Humans Information Storage and Retrieval Biomedical Research Natural Language Processing
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Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews.

Journal of clinical epidemiology Jan 21, 2021
BACKGROUND AND OBJECTIVE: To examine whether the use of natural language processing (NLP) technology is effective in assisting rapid title and abstract screening when updating a systematic review.
Natural Language Processing Systematic Reviews as Topic Abstracting and Indexing Information Storage and Retrieval Algorithms Models, Theoretical Humans Machine Learning
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