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A Robust medical data sharing application with a collaborative hypothesis and Elastic net regression model
Clinical data and records are the main data to help various customized applications like
clinical proof, protection, digital data and criminal personality. Different blockchain and …
clinical proof, protection, digital data and criminal personality. Different blockchain and …
Medical entity recognition and knowledge map relationship analysis of Chinese EMRs based on improved BiLSTM-CRF
With the development of medical informatization, a large number of patients' electronic
medical records (EMRs) have been accumulated in the hospital information system, which is …
medical records (EMRs) have been accumulated in the hospital information system, which is …
Part-of-speech tagging with rule-based data preprocessing and transformer
H Li, H Mao, J Wang - Electronics, 2021 - mdpi.com
Part-of-Speech (POS) tagging is one of the most important tasks in the field of natural
language processing (NLP). POS tagging for a word depends not only on the word itself but …
language processing (NLP). POS tagging for a word depends not only on the word itself but …
Exploring the potential of hmms in linguistics for part of speech (pos) tagging
The exponential growth in the adoption of information and communication technologies has
sparked a notable surge in the demand for Natural Language Processing (NLP) tools. The …
sparked a notable surge in the demand for Natural Language Processing (NLP) tools. The …
Shallow learning versus deep learning in natural language processing applications
The comparison between shallow learning and deep learning methodologies in natural
language processing (NLP) applications continues to be a topic of debate and research …
language processing (NLP) applications continues to be a topic of debate and research …
TxLASM: A novel language agnostic summarization model for text documents
Abstract In Natural Language Processing (NLP) domain, the majority of automatic text
summarization approaches depend on a prior knowledge of the language and/or the …
summarization approaches depend on a prior knowledge of the language and/or the …
Parts of Speech Tagging for Kannada and Hindi Languages using ML and DL models
V Advaith, A Shivkumar… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Part-of-speech (POS) tagging is one of the vital Natural Language Processing (NLP) tasks
that entails categorising words in a text (corpus) in accordance with a specific part of the …
that entails categorising words in a text (corpus) in accordance with a specific part of the …
[HTML][HTML] Sweetgum Leaf Spot Image Segmentation and Grading Detection Based on an Improved DeeplabV3+ Network
Leaf spot disease and brown spot disease are common diseases affecting maple leaves.
Accurate and efficient detection of these diseases is crucial for maintaining the …
Accurate and efficient detection of these diseases is crucial for maintaining the …
IoT enabled Primary Skin Cancer Prediction Using Pigmented Lesions
Skin is widely used in many medical fields. The tumor pandemic drastically influences the
health and well-being of the global population. In afterward days, Web of Things, Cloud …
health and well-being of the global population. In afterward days, Web of Things, Cloud …
Banep: An end-to-end neural network based model for bangla parts-of-speech tagging
In Natural Language Processing, Parts-of-Speech tagging is a vital component that
significantly impacts applications like machine translation, spell-checker, information …
significantly impacts applications like machine translation, spell-checker, information …