Penfold, R. B., Carrell, D. S., Cronkite, D. J., Pabiniak, C., Dodd, T., Glass, A. M., Johnson, E., Thompson, E., Arrighi, H. M., & Stang, P. E. (2022). Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. BMC Medical Informatics and Decision Making, 22(1). https://doi.org/10.1186/s12911-022-01864-z
ISO-690 (author-date, English)PENFOLD, Robert B., CARRELL, David S., CRONKITE, David J., PABINIAK, Chester, DODD, Tammy, GLASS, Ashley MH, JOHNSON, Eric, THOMPSON, Ella, ARRIGHI, H. Michael und STANG, Paul E., 2022. Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. BMC Medical Informatics and Decision Making. 1 Dezember 2022. Vol. 22, no. 1, . DOI 10.1186/s12911-022-01864-z.
Modern Language Association 9th editionPenfold, R. B., D. S. Carrell, D. J. Cronkite, C. Pabiniak, T. Dodd, A. M. Glass, E. Johnson, E. Thompson, H. M. Arrighi, und P. E. Stang. „Development of a Machine Learning Model to Predict Mild Cognitive Impairment Using Natural Language Processing in the Absence of Screening“. BMC Medical Informatics and Decision Making, Bd. 22, Nr. 1, Dezember 2022, https://doi.org/10.1186/s12911-022-01864-z.
Mohr Siebeck - Recht (Deutsch - Österreich)Penfold, Robert B./Carrell, David S./Cronkite, David J./Pabiniak, Chester/Dodd, Tammy/Glass, Ashley MH u. a.: Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening, BMC Medical Informatics and Decision Making 2022,
Emerald - HarvardPenfold, R.B., Carrell, D.S., Cronkite, D.J., Pabiniak, C., Dodd, T., Glass, A.M., Johnson, E., Thompson, E., Arrighi, H.M. und Stang, P.E. (2022), „Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening“, BMC Medical Informatics and Decision Making, Vol. 22 No. 1, verfügbar unter:https://doi.org/10.1186/s12911-022-01864-z.