A review of approaches to identifying patient phenotype cohorts using electronic health records
C Shivade, P Raghavan… - Journal of the …, 2014 - academic.oup.com
Objective To summarize literature describing approaches aimed at automatically identifying
patients with a common phenotype. Materials and methods We performed a review of …
patients with a common phenotype. Materials and methods We performed a review of …
Natural language processing in oncology: a review
W Yim, M Yetisgen, WP Harris, SW Kwan - JAMA oncology, 2016 - jamanetwork.com
Importance Natural language processing (NLP) has the potential to accelerate translation of
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …
A clinical text classification paradigm using weak supervision and deep representation
Background Automatic clinical text classification is a natural language processing (NLP)
technology that unlocks information embedded in clinical narratives. Machine learning …
technology that unlocks information embedded in clinical narratives. Machine learning …
[BOOK][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Natural language processing for EHR-based computational phenoty**
This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenoty**. NLP-based …
Electronic Health Records (EHRs) for computational phenoty**. NLP-based …
[HTML][HTML] Text mining of cancer-related information: review of current status and future directions
Purpose This paper reviews the research literature on text mining (TM) with the aim to find
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …
out (1) which cancer domains have been the subject of TM efforts,(2) which knowledge …
Comprehensive insights into oral squamous cell carcinoma: diagnosis, pathogenesis, and therapeutic advances
D Jagadeesan, KV Sathasivam, NK Fuloria… - … -Research and Practice, 2024 - Elsevier
Oral squamous cell carcinoma (OSCC) is considered the most common type of head and
neck squamous cell carcinoma (HNSCC) as it holds 90% of HNSCC cases that arise from …
neck squamous cell carcinoma (HNSCC) as it holds 90% of HNSCC cases that arise from …
[HTML][HTML] Use of the systematized nomenclature of medicine clinical terms (SNOMED CT) for processing free text in health care: systematic sco** review
Background: Interoperability and secondary use of data is a challenge in health care.
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
Specifically, the reuse of clinical free text remains an unresolved problem. The Systematized …
Using machine learning to parse breast pathology reports
Purpose Extracting information from electronic medical record is a time-consuming and
expensive process when done manually. Rule-based and machine learning techniques are …
expensive process when done manually. Rule-based and machine learning techniques are …
[HTML][HTML] A frame semantic overview of NLP-based information extraction for cancer-related EHR notes
Objective There is a lot of information about cancer in Electronic Health Record (EHR) notes
that can be useful for biomedical research provided natural language processing (NLP) …
that can be useful for biomedical research provided natural language processing (NLP) …