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   Articles with "biomedical data" as a keyword



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Secure and Scalable Collection of Biomedical Data for Machine Learning Applications

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recommendations! Published in 2021 at "Methods in molecular biology"

DOI: 10.1007/978-1-0716-0826-5_16

Abstract: Recently, digitization of biomedical processes has accelerated, in no small part due to the use of machine learning techniques which require large amounts of labeled data. This chapter focuses on the prerequisite steps to the… read more here.

Keywords: machine learning; secure scalable; biomedical data; collection ... See more keywords

Visualizing correlations among Parkinson biomedical data through information retrieval and machine learning techniques

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recommendations! Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-10506-x

Abstract: In the last few years, the integration of researches in Computer Science and medical fields has made available to the scientific community an enormous amount of data, stored in databases. In this paper, we analyze… read more here.

Keywords: biomedical data; retrieval machine; learning techniques; machine learning ... See more keywords

Prostate cancer classification from prostate biomedical data using ant rough set algorithm with radial trained extreme learning neural network

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recommendations! Published in 2018 at "Health and Technology"

DOI: 10.1007/s12553-018-0279-6

Abstract: Prostate cancer is commonly occurs in prostate that affects small walnut and generates the seminal fluid for men. This disease is happening due to urinating trouble, blood semen, bone pain, stream of urine other harmful… read more here.

Keywords: prostate; prostate cancer; biomedical data; prostate biomedical ... See more keywords

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data

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recommendations! Published in 2017 at "Health Information Science and Systems"

DOI: 10.1007/s13755-017-0025-x

Abstract: PurposeIt is common that a trained classification model is applied to the operating data that is deviated from the training data because of noise. This paper will test an ensemble method, Diversified Multiple Tree (DMT),… read more here.

Keywords: trees classification; building diversified; biomedical data; multiple trees ... See more keywords

Random vector functional link with ε-insensitive Huber loss function for biomedical data classification

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recommendations! Published in 2022 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2022.106622

Abstract: BACKGROUND AND OBJECTIVE Biomedical data classification has been a trending topic among researchers during the last decade. Biomedical datasets may contain several features noises. Hence, the conventional machine learning model cannot efficiently handle the presence… read more here.

Keywords: biomedical datasets; biomedical data; function; data classification ... See more keywords
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Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study

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recommendations! Published in 2021 at "Neurobiology of Stress"

DOI: 10.1016/j.ynstr.2021.100297

Abstract: The necessary requirement of a traumatic event preceding the development of Posttraumatic Stress Disorder, theoretically allows for administering preventive and early interventions in the early aftermath of such events. Machine learning models including biomedical data… read more here.

Keywords: risk; machine learning; individual risk; biomedical data ... See more keywords
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A scalable, secure, and interoperable platform for deep data-driven health management

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recommendations! Published in 2021 at "Nature Communications"

DOI: 10.1038/s41467-021-26040-1

Abstract: The large amount of biomedical data derived from wearable sensors, electronic health records, and molecular profiling (e.g., genomics data) is rapidly transforming our healthcare systems. The increasing scale and scope of biomedical data not only… read more here.

Keywords: scalable secure; interoperable platform; biomedical data; secure interoperable ... See more keywords

Between Access and Privacy: Challenges in Sharing Health Data

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recommendations! Published in 2018 at "Yearbook of Medical Informatics"

DOI: 10.1055/s-0038-1641216

Abstract: Summary Objective:  To summarize notable research contributions published in 2017 on data sharing and privacy issues in medical informatics. Methods:  An extensive search of PubMed/Medline, Web of Science, ACM Digital Library, IEEE Xplore, and AAAI… read more here.

Keywords: data access; biomedical data; best papers; privacy ... See more keywords

Multimodal deep learning for biomedical data fusion: a review

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recommendations! Published in 2022 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbab569

Abstract: Abstract Biomedical data are becoming increasingly multimodal and thereby capture the underlying complex relationships among biological processes. Deep learning (DL)-based data fusion strategies are a popular approach for modeling these nonlinear relationships. Therefore, we review… read more here.

Keywords: fusion strategies; deep learning; fusion; multimodal deep ... See more keywords

Biomedical data, computational methods and tools for evaluating disease-disease associations

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recommendations! Published in 2022 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbac006

Abstract: In recent decades, exploring potential relationships between diseases has been an active research field. With the rapid accumulation of disease-related biomedical data, a lot of computational methods and tools/platforms have been developed to reveal intrinsic… read more here.

Keywords: computational methods; disease disease; disease associations; biomedical data ... See more keywords

MORE: a multi-omics data-driven hypergraph integration network for biomedical data classification and biomarker identification

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recommendations! Published in 2024 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbae658

Abstract: Abstract High-throughput sequencing methods have brought about a huge change in omics-based biomedical study. Integrating various omics data is possibly useful for identifying some correlations across data modalities, thus improving our understanding of the underlying… read more here.

Keywords: multi omics; biomedical data; integration network; hypergraph integration ... See more keywords