AIMC Journal:
Journal of biomedical informatics

Showing 511 to 520 of 650 articles

Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.

Journal of biomedical informatics
OBJECTIVE: Mining disease-specific associations from existing knowledge resources can be useful for building disease-specific ontologies and supporting knowledge-based applications. Many association mining techniques have been exploited. However, the...

EHR-based phenotyping: Bulk learning and evaluation.

Journal of biomedical informatics
In data-driven phenotyping, a core computational task is to identify medical concepts and their variations from sources of electronic health records (EHR) to stratify phenotypic cohorts. A conventional analytic framework for phenotyping largely uses ...

Predicting healthcare trajectories from medical records: A deep learning approach.

Journal of biomedical informatics
Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, stored in electronic medical records are episodic and irregular in time....

Building a comprehensive syntactic and semantic corpus of Chinese clinical texts.

Journal of biomedical informatics
OBJECTIVE: To build a comprehensive corpus covering syntactic and semantic annotations of Chinese clinical texts with corresponding annotation guidelines and methods as well as to develop tools trained on the annotated corpus, which supplies baseline...

Assigning clinical codes with data-driven concept representation on Dutch clinical free text.

Journal of biomedical informatics
Clinical codes are used for public reporting purposes, are fundamental to determining public financing for hospitals, and form the basis for reimbursement claims to insurance providers. They are assigned to a patient stay to reflect the diagnosis and...

ZK DrugResist 2.0: A TextMiner to extract semantic relations of drug resistance from PubMed.

Journal of biomedical informatics
Extracting useful knowledge from an unstructured textual data is a challenging task for biologists, since biomedical literature is growing exponentially on a daily basis. Building an automated method for such tasks is gaining much attention of resear...

NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.

Journal of biomedical informatics
Many different text features influence text readability and content comprehension. Negation is commonly suggested as one such feature, but few general-purpose tools exist to discover negation and studies of the impact of negation on text readability ...

Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks.

Journal of biomedical informatics
Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult because topics of OHC content are usually heterogeneous and domain-dependent. In this paper, we prov...

A reductionist approach to extract robust molecular markers from microarray data series - Isolating markers to track osseointegration.

Journal of biomedical informatics
Complexities in the full genome expression studies hinder the extraction of tracker genes to analyze the course of biological events. In this study, we demonstrate the applications of supervised machine learning methods to reduce the irrelevance in m...

Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.

Journal of biomedical informatics
Measuring toxicity is an important step in drug development. Nevertheless, the current experimental methods used to estimate the drug toxicity are expensive and time-consuming, indicating that they are not suitable for large-scale evaluation of drug ...