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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
clinical text
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "clinical text" is correct and usable in written English.
It can be used in contexts related to healthcare, medical documentation, or research where the focus is on written content that pertains to clinical practices or patient information. Example: "The study analyzed the clinical text from patient records to identify common symptoms and treatment outcomes."
✓ Grammatically correct
Science
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
The Clinical Text Analysis and Extraction System (cTAKES) represents the latest advancements in clinical NLP.
Science
Critical steps in clinical text classification include identification of features and passages relevant to the classification task, and representation of clinical text to enable discrimination between documents of different classes.
TimeText is a temporal reasoning system designed to represent, extract, and reason about temporal information in clinical text.
While there are many de-identification systems available for English clinical text, designing a de-identification system for Chinese clinical text faces many challenges such as unavailability of necessary lexical resources and sparsity of patient health information (PHI) in Chinese clinical text.
This paper addresses an information-extraction problem that aims to identify semantic relations among medical concepts (problems, tests, and treatments) in clinical text.
Since manually de-identification of free clinical text requires significant amount of human work, developing an automated de-identification system is necessary.
We demonstrate that combing rule-based and machine learning is an effective way to reduce the annotation cost and achieve high performance in Chinese clinical text de-identification task.
The methods we developed improve upon the results of this challenge's top machine-learning based system, and may improve the performance of other machine-learning based clinical text classification systems.
In this study we present novel feature engineering techniques that leverage the biomedical domain knowledge encoded in the Unified Medical Language System UMLSS) to improve machine-learning based clinical text classification.
Based on our observation that a clinical text describes a patient's medical problems and a doctor's treatments in chronological order, a clinical semantic unit is defined as a problem and/or an action relation.
We developed novel information-theoretic techniques that utilize the taxonomical structure of the Unified Medical Language System UMLSS) to improve feature ranking, and we developed a semantic similarity measure that projects clinical text into a feature space that improves classification.
Expert writing Tips
Best practice
Use "clinical text" when referring to unstructured data extracted from electronic health records for natural language processing tasks.
Common error
Avoid using "clinical text" when referring to structured data fields in electronic health records. "Clinical text" specifically refers to unstructured narrative notes.
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "clinical text" functions primarily as a noun phrase, specifically an adjective modifying a noun. It refers to textual data derived from clinical settings, often used in healthcare and medical research. Ludwig AI confirms that this phrase is correct and usable in written English.
Frequent in
Science
100%
Less common in
News & Media
0%
Formal & Business
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "clinical text" is a grammatically sound and frequently used term, as also confirmed by Ludwig AI, primarily in the scientific and medical fields. It functions as a noun phrase, serving to categorize unstructured medical data. While primarily formal and scientific, its use aims to clearly identify and differentiate this type of data from structured information. Alternative terms include "medical records" and "patient notes", but "clinical text" specifically emphasizes the textual nature within a clinical context.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
clinical documentation
Synonymous, but puts emphasis on the clinical environment where the documentation takes place.
medical documentation
A more formal and comprehensive term for all types of medical records.
health records
A broad term encompassing all information related to a person's health.
medical records
Refers specifically to documented patient information, often broader than just text.
medical reports
Specifically refers to structured reports generated in clinical settings.
patient notes
Emphasizes the informal, note-taking aspect of clinical documentation.
patient charts
Refers to a collection of documents related to a patient's medical history.
healthcare narrative
Highlights the storytelling aspect of patient histories and treatment.
medical transcription
Focuses on the process of converting spoken medical information into text.
medical writing
Refers to the overall output and task, while "clinical text" is more focused on the content.
FAQs
How is "clinical text" used in medical research?
In medical research, "clinical text" is often analyzed using natural language processing to extract insights from unstructured patient notes and reports.
What are some common sources of "clinical text"?
"Clinical text" can be found in patient medical histories, discharge summaries, progress notes, and radiology reports.
How does "clinical text" differ from other types of medical documentation?
Unlike structured data, such as lab results or billing codes, "clinical text" is unstructured and narrative, providing detailed contextual information. It differs from "medical documentation" by focusing specifically on textual content.
What are the challenges of processing "clinical text"?
Processing "clinical text" presents challenges due to the complexity of medical language, abbreviations, and the need for de-identification to protect patient privacy.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested