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Natural Language Processing of Nursing Notes

Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing (2022)

Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...

OPENALEX Open Access DOI: https://doi.org/10.1097/cin.0000000000000967 PMC: 11499545

A renaissance of neural networks in drug discovery

Igor I. Baskin, David Alan Winkler, Igor V. Tetko • Expert Opinion on Drug Discovery (2016)

INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to cho...

OPENALEX DOI: https://doi.org/10.1080/17460441.2016.1201262

Neural Networks in Clinical Medicine

W.D. Penny, David Frost • Medical Decision Making (1996)

Neural networks are parallel, distributed, adaptive information-processing systems that develop their functionality in response to exposure to information. This paper is a tutorial for researchers intending to use neural nets for medical de...

OPENALEX DOI: https://doi.org/10.1177/0272989x9601600409

Recurrent Neural Networks for Prediction

Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks (2001)

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...

OPENALEX DOI: https://doi.org/10.1002/047084535x

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada et al. • Heliyon (2018)

This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and ar...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.heliyon.2018.e00938 PMC: 6260436

Pattern Recognition and Neural Networks

Brian David Ripley • Cambridge University Press eBooks (1996)

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511812651

A neural network model for survival data

David Faraggi, Richard M Simon • Statistics in Medicine (1995)

Neural networks have received considerable attention recently, mostly by non-statisticians. They are considered by many to be very promising tools for classification and prediction. In this paper we present an approach to modelling censored...

OPENALEX DOI: https://doi.org/10.1002/sim.4780140108

On Interpretability of Artificial Neural Networks: A Survey

Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences (2021)

Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...

OPENALEX Open Access DOI: https://doi.org/10.1109/trpms.2021.3066428 PMC: 9105427

Neuromodulation Effect According to Lesion Location After Dual-Mode Brain Stimulation in Patients with Subacute Stroke: A Preliminary Study

Minji Lee, Wanjoo Park, Eunhee Park, Soon-Jae Kweon et al. • Applied Sciences (2024)

Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may v...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14219636

Evidence-based software engineering

Barbara Ann Kitchenham, Tore Dybå, Magne Jørgensen • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2004)

Objective: Our objective is to describe how software engineering might benefit from an evidence-based approach and to identify the potential difficulties associated with the approach. Method: We compared the organisation and technical infra...

OPENALEX DOI: https://doi.org/10.5555/998675.999432

CD44-Receptors-Mediated Multiprong Targeting Strategy Against Breast Cancer and Tumor-Associated Macrophages: Design, Optimization, Characterization, and Cytologic Evaluation

Hussain Z, Abdulrahim Abdul Moti L, Jagal J, Thu HE et al. • International Journal of Nanomedicine (2025)

Zahid Hussain,1,2 Lama Abdulrahim Abdul Moti,1 Jayalakshmi Jagal,2 Hnin Ei Thu,3 Shahzeb Khan,4 Mohsin Kazi5 1Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah, 27272, United Arab...

DOAJ Open Access (DOAJ)