Search Results

Fractal feature selection model for enhancing high-dimensional biological problems.

• Authors : Alsaeedi, Ali Hakem; Al-Mahmood, Haider Hameed R.; Alnaseri, Zainab Fahad

Subjects: FEATURE selection; ARTIFICIAL intelligence; MACHINE learning

• Source: BMC Bioinformatics; 1/9/2024, Vol. 25 Issue 1, p1-23, 23p

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Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies

• Authors : Faviez, Carole; Chen, Xiaoyi; Garcelon, Nicolas ...

Subjects: Ciliopathy; Clinical decision support; Rare diseases

• Source: ISSN: 1472-6947.

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Semantic similarity in the biomedical domain: an evaluation across knowledge sources.

• Authors : Garla, Vijay N.¹ ; Brandt, Cynthia^1,2

• Source: BMC Bioinformatics. 2012, Vol. 13 Issue 1, p261-273. 13p. 3 Charts.

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Evaluation of word embedding models to extract and predict surgical data in breast cancer.

• Authors : Sgroi, Giuseppe; Russo, Giulia; Maglia, Anna

Subjects: NATURAL language processing; BREAST cancer; ARTIFICIAL intelligence

• Source: BMC Bioinformatics; 11/16/2022 Supplement, Vol. 22 Issue 14, p1-19, 19p

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Going on up to the SPIRIT in AI: will new reporting guidelines for clinical trials of AI interventions improve their rigour?

• Authors : Wicks, Paul¹ (AUTHOR) ; Liu, Xiaoxuan^2,3,4,5 (AUTHOR); Denniston, Alastair K.^2,3,4,6,7 (AUTHOR)

• Source: BMC Medicine. 9/9/2020, Vol. 18 Issue 1, pN.PAG-N.PAG. 1p.

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Diagnosis support systems for rare diseases: a scoping review

• Authors : Faviez, Carole; Chen, Xiaoyi; Garcelon, Nicolas ...

Subjects: Artificial intelligence; Clinical decision support; Diagnosis

• Source: ISSN: 1750-1172 ; Orphanet Journal of Rare Diseases ; https://hal.sorbonne-universite.fr/hal-02570643 ; Orphanet Journal of Rare Diseases, 2020, 15 (1), pp.94. ⟨10.1186/s13023-020-01374-z⟩.

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Research perspectives on animal health in the era of artificial intelligence

• Authors : Ezanno, Pauline; Picault, Sébastien; Beaunée, Gaël ...

Subjects: Animal disease; Data; Livestock

• Source: ISSN: 0928-4249.

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MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly

• Authors : Kuo ching Liang; Yasubumi Sakakibara

Subjects: Computer science; QH301-705.5; Computer applications to medicine. Medical informatics

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 22, Iss S6, Pp 1-21 (2021)

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An ontology for representing hematologic malignancies: the cancer cell ontology

• Authors : William D. Duncan; Alexander D. Diehl; Lucas M Serra

Subjects: Computer science; Ontology (information science); computer.software_genre

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 20, Iss S5, Pp 231-236 (2019)

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A scalable assembly-free variable selection algorithm for biomarker discovery from metagenomes

• Authors : Gkanogiannis, Anestis; Gazut, Stéphane; Salanoubat, Marcel ...

Subjects: Metagenomics; Binning; Unsupervised learning

• Source: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.science/hal-01868694 ; BMC Bioinformatics, 2016, 17 (1), pp.311. ⟨10.1186/s12859-016-1186-3⟩.

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