doctick (@doctick) header
doctick (@doctick) profile picture

doctick

@doctick

Sciences

 Cloud
Joined January 2014
  • Tweets10.7K
  • Following69
  • Followers300
#NLP "From Twitter to Aso-Rock: A sentiment analysis framework for understanding Nigeria 2023 presidential election" ift.tt/XHeyYhQ
From Twitter to Aso-Rock: A sentiment analysis framework for understanding Nigeria 2023 president...

From Twitter to Aso-Rock: A sentiment analysis framework for understanding Nigeria 2023 president...

Sentiment analysis and other Natural Language Understanding tasks can aid in the understanding of the social media space in terms of public opinion mining. We conclude that opinion mining from...

pubmed.ncbi.nlm.nih.gov
1
70
#NLP "SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarchical Field-of-Science taxonomy" ift.tt/3Vvk9LH
SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarch...

SCINOBO: a novel system classifying scholarly communication in a dynamically constructed hierarch...

Classifying scientific publications according to Field-of-Science taxonomies is of crucial importance, powering a wealth of relevant applications including Search Engines, Tools for Scientific...

pubmed.ncbi.nlm.nih.gov
1
49
#NLP "AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning" ift.tt/8jWtPMm
30
#NLP "Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis" ift.tt/FuHBZkf
Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of...

Effect of Recent Abortion Legislation on Twitter User Engagement, Sentiment, and Expressions of...

The study suggests that the Dobbs ruling has consequences for health systems and reproductive health care that extend beyond denying patients access to the full spectrum of reproductive health...

pubmed.ncbi.nlm.nih.gov
1
31
#NLP "From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management" ift.tt/jVCHsE1
From concept to practice: a scoping review of the application of AI to aphasia diagnosis and...

From concept to practice: a scoping review of the application of AI to aphasia diagnosis and...

Considerable scope remains to align AI technology with aphasia rehabilitation to empower patient-centred, customised rehabilitation and enhanced self-management.

pubmed.ncbi.nlm.nih.gov
27
#NLP "Transformer versus traditional natural language processing: How much data is enough for automated radiology report classification?" ift.tt/acrfIbq
Transformer versus traditional natural language processing: how much data is enough for automated...

Transformer versus traditional natural language processing: how much data is enough for automated...

Our benchmarks can help guide clinical NLP researchers in selecting machine-learning models according to their dataset characteristics.

pubmed.ncbi.nlm.nih.gov
15
#NLP "Cortical haemodynamic responses predict individual ability to recognise vocal emotions with uninformative pitch cues but do not distinguish different emotions" ift.tt/5I76x1q
Cortical haemodynamic responses predict individual ability to recognise vocal emotions with...

Cortical haemodynamic responses predict individual ability to recognise vocal emotions with...

We investigated the cortical representation of emotional prosody in normal-hearing listeners using functional near-infrared spectroscopy (fNIRS) and behavioural assessments. Consistent with previous...

pubmed.ncbi.nlm.nih.gov
14
#NLP "Comparison of wellbeing structures based on survey responses and social media language: A network analysis" ift.tt/TSXg2NH
Comparison of wellbeing structures based on survey responses and social media language: A network...

Comparison of wellbeing structures based on survey responses and social media language: A network...

Wellbeing is predominantly measured through surveys but is increasingly measured by analysing individuals' language on social media platforms using social media text mining (SMTM). To investigate...

pubmed.ncbi.nlm.nih.gov
13
#ehr "Development and application of an algorithm for statin-induced myopathy based on electronic health record-derived structured elements" ift.tt/BdTuibU
Development and application of an algorithm for statin-induced myopathy based on electronic health...

Development and application of an algorithm for statin-induced myopathy based on electronic health...

We have produced an efficient, easy-to-apply methodological tool that can improve the quality of future research on statin-induced myopathy.

pubmed.ncbi.nlm.nih.gov
15
#NLP "Speech as a graph: developmental perspectives on the organization of spoken language" ift.tt/myZNDga
10
#ehr "Cardiovascular Health Trajectories from Age 2-12: A Pediatric Electronic Health Record Study" ift.tt/c8DuvJV
Cardiovascular health trajectories from age 2-12: a pediatric electronic health record study -...

Cardiovascular health trajectories from age 2-12: a pediatric electronic health record study -...

Stratification of CVH was present by age 2, implicating the need for early life and preconception prevention strategies.

pubmed.ncbi.nlm.nih.gov
10
#NLP "The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1 Million Web-Based Posts From Health Forums and Social Media Platforms" ift.tt/AkpfbXV
The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1...

The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1...

Using machine learning techniques, social media and health forums provide a valuable resource for patient-generated data regarding the pattern of use and patients' perceptions of TCIM. Such informa...

pubmed.ncbi.nlm.nih.gov
11
#NLP "Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care" ift.tt/S3xpTJH
Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test:...

Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test:...

Large language models are approaching human expert-level performance, although further development is required to match the performance of qualified primary care physicians in the AKT. Validated...

pubmed.ncbi.nlm.nih.gov
12
#NLP "Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the understanding of laboratory medicine test results. An assessment by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working … ift.tt/ucHGVU6
Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the...

Potentials and pitfalls of ChatGPT and natural-language artificial intelligence models for the...

ChatGPT in its current form, being not specifically trained on medical data or laboratory data in particular, may only be considered a tool capable of interpreting a laboratory report on a test-by-...

pubmed.ncbi.nlm.nih.gov
15
#NLP "Processing negative emotion in two languages of bilinguals: Accommodation and assimilation of the neural pathways based on a meta-analysis" ift.tt/y1o0NM4
Processing negative emotion in two languages of bilinguals: Accommodation and assimilation of the...

Processing negative emotion in two languages of bilinguals: Accommodation and assimilation of the...

Numerous functional magnetic resonance imaging (fMRI) studies have examined the neural mechanisms of negative emotional words, but scarce evidence is available for the interactions among related...

pubmed.ncbi.nlm.nih.gov
12
#NLP "Natural language processing-driven state machines to extract social factors from unstructured clinical documentation" ift.tt/JwC3Ql4
Natural language processing-driven state machines to extract social factors from unstructured...

Natural language processing-driven state machines to extract social factors from unstructured...

The rule-based NLP algorithms demonstrated consistent performance in identifying 3 social factors within clinical text. These methods may be a part of a strategy to measure social factors within an...

pubmed.ncbi.nlm.nih.gov
12
#NLP "Feasibility Study of the Prediction of Radiologist's Instructions with the Bi-LSTM Model Trained with Descriptions of MR Imaging Order-statement" ift.tt/ziD06ml
[Feasibility Study of the Prediction of Radiologist's Instructions with the Bi-LSTM Model Trained...

[Feasibility Study of the Prediction of Radiologist's Instructions with the Bi-LSTM Model Trained...

It is suggested that the proposed method is effective and that the prediction of MR imaging instructions using natural language analysis in combination with the proposed method is feasible.

pubmed.ncbi.nlm.nih.gov
15
#NLP "Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients" ift.tt/nHTp6gP
Automatic extraction of social determinants of health from medical notes of chronic lower back pain...

Automatic extraction of social determinants of health from medical notes of chronic lower back pain...

This study developed a corpus of annotated clinical notes covering a broad spectrum of SDoH classes. This corpus provides a basis for training machine learning models and serves as a benchmark for...

pubmed.ncbi.nlm.nih.gov
10
#NLP "Bigram semantic distance as an index of continuous semantic flow in natural language: Theory, tools, and applications" ift.tt/lE31h2d
Bigram semantic distance as an index of continuous semantic flow in natural language: Theory,...

Bigram semantic distance as an index of continuous semantic flow in natural language: Theory,...

Much of our understanding of word meaning has been informed through studies of single words. High-dimensional semantic space models have recently proven instrumental in elucidating connections...

pubmed.ncbi.nlm.nih.gov
9
#NLP "Molecular Property Prediction by Contrastive Learning with Attention-Guided Positive Sample Selection" ift.tt/i0dY7vJ
Molecular property prediction by contrastive learning with attention-guided positive sample...

Molecular property prediction by contrastive learning with attention-guided positive sample...

The code is publicly available at https://github.com/wangjx22/CLAPS.

pubmed.ncbi.nlm.nih.gov
1
8
Load more