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American Psychological Association 6th edition

Sreekrishna, M., & Prem Jacob, T. (2023). Quantitative feature extraction of unstructured data from Git Lab Bio AI pathology reports of cancer using an enhanced RPA NLP method. Journal of Intelligent & Fuzzy Systems, 45(4), 5265-5276. https://doi.org/10.3233/JIFS-231625

ISO-690 (author-date, English)

SREEKRISHNA, M. und PREM JACOB, T., 2023. Quantitative feature extraction of unstructured data from Git Lab Bio AI pathology reports of cancer using an enhanced RPA NLP method. Journal of Intelligent & Fuzzy Systems. 1 Oktober 2023. Vol. 45, no. 4, p. 5265-5276. DOI 10.3233/JIFS-231625.

Modern Language Association 9th edition

Sreekrishna, M., und T. Prem Jacob. „Quantitative Feature Extraction of Unstructured Data from Git Lab Bio AI Pathology Reports of Cancer Using an Enhanced RPA NLP Method.“. Journal of Intelligent & Fuzzy Systems, Bd. 45, Nr. 4, Oktober 2023, S. 5265-76, https://doi.org/10.3233/JIFS-231625.

Mohr Siebeck - Recht (Deutsch - Österreich)

Sreekrishna, M./Prem Jacob, T.: Quantitative feature extraction of unstructured data from Git Lab Bio AI pathology reports of cancer using an enhanced RPA NLP method., Journal of Intelligent & Fuzzy Systems 2023, 5265-5276.

Emerald - Harvard

Sreekrishna, M. und Prem Jacob, T. (2023), „Quantitative feature extraction of unstructured data from Git Lab Bio AI pathology reports of cancer using an enhanced RPA NLP method.“, Journal of Intelligent & Fuzzy Systems, Vol. 45 No. 4, S. 5265-5276.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.