Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
In this white paper, experts from the Digital Pathology Association (DPA) define terminology
and concepts in the emerging field of computational pathology, with a focus on its …
and concepts in the emerging field of computational pathology, with a focus on its …
Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
Natural language processing algorithms for map** clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies
Background Free-text descriptions in electronic health records (EHRs) can be of interest for
clinical research and care optimization. However, free text cannot be readily interpreted by a …
clinical research and care optimization. However, free text cannot be readily interpreted by a …
Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review
Oral potentially malignant disorders represent precursor lesions that may undergo malignant
transformation to oral cancer. There are many known risk factors associated with the …
transformation to oral cancer. There are many known risk factors associated with the …
Dengue epidemics prediction: A survey of the state-of-the-art based on data science processes
Dengue infection is a mosquitoborne disease caused by dengue viruses, which are carried
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets
Objectives Biomedical natural language processing tools are increasingly being applied for
broad-coverage information extraction—extracting medical information of all types in a …
broad-coverage information extraction—extracting medical information of all types in a …
Data integration challenges for machine learning in precision medicine
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …
different databases about the molecular and environmental origins of disease, into analytic …
MedTAG: a portable and customizable annotation tool for biomedical documents
Abstract Background Semantic annotators and Natural Language Processing (NLP)
methods for Named Entity Recognition and Linking (NER+ L) require plenty of training and …
methods for Named Entity Recognition and Linking (NER+ L) require plenty of training and …
Knowledge Graph Embeddings for ICU readmission prediction
Abstract Background Intensive Care Unit (ICU) readmissions represent both a health risk for
patients, with increased mortality rates and overall health deterioration, and a financial …
patients, with increased mortality rates and overall health deterioration, and a financial …
[HTML][HTML] Standardized clinical annotation of digital histopathology slides at the point of diagnosis
As digital pathology replaces conventional glass slide microscopy as a means of reporting
cellular pathology samples, the annotation of digital pathology whole slide images is rapidly …
cellular pathology samples, the annotation of digital pathology whole slide images is rapidly …