Uzuner Ö, Goldstein I, Luo Y, Kohane I. Identifying Patient Smoking Status from Medical Discharge Records [Internet]. Journal of the American Medical Informatics Association 2008;15(1):14-24. https://doi.org/10.1197/jamia.M2408

Savova GK, Ogren PV, Duffy PH, Buntrock JD, Chute CG. Mayo Clinic NLP System for Patient Smoking Status Identification [Internet]. Journal of the American Medical Informatics Association 2008;15(1):25-28. https://doi.org/10.1197/jamia.M2437

Wicentowski R, Sydes MR. Using Implicit Information to Identify Smoking Status in Smoke-blind Medical Discharge Summaries [Internet]. Journal of the American Medical Informatics Association 2008;15(1):29-31. https://doi.org/10.1197/jamia.M2440

Cohen AM. Five-way Smoking Status Classification Using Text Hot-Spot Identification and Error-correcting Output Codes [Internet]. Journal of the American Medical Informatics Association 2008;15(1):32-35. https://doi.org/10.1197/jamia.M2434

Clark C, Good K, Jezierny L, Macpherson M, Wilson B, Chajewska U. Identifying Smokers with a Medical Extraction System [Internet]. Journal of the American Medical Informatics Association 2008;15(1):36-39. https://doi.org/10.1197/jamia.M2442

Heinze DT, Morsch ML, Potter BC, Sheffer RE. Medical i2b2 NLP Smoking Challenge: The A-Life System Architecture and Methodology [Internet]. Journal of the American Medical Informatics Association 2008;15(1):40-43. https://doi.org/10.1197/jamia.M2438

Uzuner Ö, Luo Y, Szolovits P. Evaluating the State-of-the-Art in Automatic De-identification [Internet]. Journal of the American Medical Informatics Association 2007;14(5):550-563. https://doi.org/10.1197/jamia.M2444

Wellner B, Huyck M, Mardis S, Aberdeen J, Morgan A, Peshkin L, Yeh A, Hitzeman J, Hirschman L. Rapidly Retargetable Approaches to De-identification in Medical Records [Internet]. Journal of the American Medical Informatics Association 2007;14(5):564-573. https://doi.org/10.1197/jamia.M2435

Szarvas G, Farkas R, Busa-Fekete R. State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework [Internet]. Journal of the American Medical Informatics Association 2007;14(5):574-580. https://doi.org/10.1197/j.jamia.M2441