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Feasibility of Hemolytic Disease of the Fetus and Newborn Case Ascertainment and Assessing Its Impact on Prenatal and Postnatal Outcomes: Protocol for Observational Studies

Nana A Mensah, Michael J Fassett, Nehaa Khadka, Jiaxiao M Shi et al. • JMIR Research Protocols (2025)

BackgroundHemolytic disease of the fetus and newborn (HDFN) is a rare but serious condition caused by maternal-fetal red blood cell antigen incompatibility. In an affected pregnancy, maternal immunoglobulin G antibodies cross the placenta a...

DOAJ Open Access (DOAJ) DOI: 10.2196/77836

Which factors influence public perceptions of urban attractions? — A comparative study

Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators (2023)

To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ecolind.2023.110541

Natural Language Processing for EHR-Based Computational Phenotyping

Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics (2018)

This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...

OPENALEX Open Access DOI: https://doi.org/10.1109/tcbb.2018.2849968 PMC: 6388621

A Review of Natural Language Processing in Medical Education

Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine (2018)

Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...

OPENALEX cc-by DOI: https://doi.org/10.5811/westjem.2018.11.39725 PMC: 6324711

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy et al. • BMJ Open (2022)

Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analy...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2021-057227

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

Jawanpuria, Pratik, Balgovind, Arjun, Kunchukuttan, Anoop, Mishra, Bamdev • Transactions of the Association for Computational Linguistics (2019)

We propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary. Our approach decouples the source-to-target language transformation into (a) language-specific rotations on the o...

DOAJ Open Access (DOAJ) DOI: 10.1162/tacl_a_00257

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research (2023)

BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...

DOAJ Open Access (DOAJ) DOI: 10.2196/43349

The Effectiveness of Arabic Stemmers Using Arabized Word Removal

Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management (2022)

Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...

DOAJ Open Access (DOAJ)

Enhancing educational semantic retrieval through dual objective fine tuning of open source embedding models

Ramteja Sajja, Yusuf Sermet, Ibrahim Demir • Discover Education (2026)

Abstract Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study prese...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44217-026-01825-y

Natural Language Processing

Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks (2020)

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...

OPENALEX DOI: https://doi.org/10.1017/9781108332873

Natural Language Processing in Surgery

Joseph A. Mellia, Marten N. Basta, Yoshiko Toyoda, Sammy Othman et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health...

OPENALEX DOI: https://doi.org/10.1097/sla.0000000000004419

THE MAIN CHARACTER’S NEUROTIC NEEDS IN THE NOVEL THE INVISIBLE MAN BY H. G. WELLS

Andi Febriana Tamrin, Miselin Adveni, Basri Basri • CaLLs: Journal of Culture, Arts, Literature, and Linguistics (2023)

This study analyses the types of neurotic needs experienced by Griffin through three kinds of neurotic conditions, which indicate that he has a neurotic disorder. This study uses psychoanalysis social by Karen Horney's theory about the type...

DOAJ Open Access (DOAJ) DOI: 10.30872/calls.v9i2.9080

The fluency-based semantic network of LLMs differs from humans

Ye Wang, Yaling Deng, Ge Wang, Tong Li et al. • Computers in Human Behavior: Artificial Humans (2025)

Modern Large Language Models (LLMs) exhibit complexity and granularity similar to humans in the field of natural language processing, challenging the boundaries between humans and machines in language understanding and creativity. However, ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chbah.2024.100103