Deep learning in clinical natural language processing: a methodical review
Objective This article methodically reviews the literature on deep learning (DL) for natural
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
language processing (NLP) in the clinical domain, providing quantitative analysis to answer …
The evolving use of electronic health records (EHR) for research
E Kim, SM Rubinstein, KT Nead… - Seminars in radiation …, 2019 - Elsevier
Electronic health records (EHR) have been implemented successfully in a majority of United
States healthcare systems in some form. There has been a rise in secondary uses of EHR …
States healthcare systems in some form. There has been a rise in secondary uses of EHR …
Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
The high proportion of energy consumed in buildings has engendered the manifestation of
many environmental problems which deploy adverse impacts on the existence of mankind …
many environmental problems which deploy adverse impacts on the existence of mankind …
[HTML][HTML] A novel approach for fully automatic intra-tumor segmentation with 3D U-Net architecture for gliomas
Purpose: Gliomas are the most common primary brain malignancies, with varying degrees of
aggressiveness and prognosis. Understanding of tumor biology and intra-tumor …
aggressiveness and prognosis. Understanding of tumor biology and intra-tumor …
Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records
Pathology reports contain the essential data for both clinical and research purposes.
However, the extraction of meaningful, qualitative data from the original document is difficult …
However, the extraction of meaningful, qualitative data from the original document is difficult …
Natural language processing to identify cancer treatments with electronic medical records
J Zeng, I Banerjee, AS Henry, DJ Wood… - JCO Clinical Cancer …, 2021 - ascopubs.org
PURPOSE Knowing the treatments administered to patients with cancer is important for
treatment planning and correlating treatment patterns with outcomes for personalized …
treatment planning and correlating treatment patterns with outcomes for personalized …
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review
Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …
which helps clinical decision-making and improves health outcomes. Despite all these …
Artificial intelligence applications in urology: reporting standards to achieve fluency for urologists
Methods A literature search was performed. Articles between 2012 and 2020 using the
search terms “urology”,“artificial intelligence,”“machine learning” were vetted and …
search terms “urology”,“artificial intelligence,”“machine learning” were vetted and …
Automated extraction of tumor staging and diagnosis information from surgical pathology reports
S Abedian, ET Sholle, PM Adekkanattu… - JCO clinical cancer …, 2021 - ascopubs.org
PURPOSE Typically stored as unstructured notes, surgical pathology reports contain data
elements valuable to cancer research that require labor-intensive manual extraction …
elements valuable to cancer research that require labor-intensive manual extraction …
Obtaining knowledge in pathology reports through a natural language processing approach with classification, named-entity recognition, and relation-extraction …
PURPOSE Robust institutional tumor banks depend on continuous sample curation or else
subsequent biopsy or resection specimens are overlooked after initial enrollment. Curation …
subsequent biopsy or resection specimens are overlooked after initial enrollment. Curation …