Sim, Jin-Ah, Huang, Xiaolei, Horan, Madeline R, Baker, Justin N, and Huang, I-Chan. Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review. Retrieved from https://par.nsf.gov/biblio/10529060. Expert Review of Pharmacoeconomics & Outcomes Research 24.4 Web. doi:10.1080/14737167.2024.2322664.

Sim, Jin-Ah, Huang, Xiaolei, Horan, Madeline R, Baker, Justin N, & Huang, I-Chan. Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review. Expert Review of Pharmacoeconomics & Outcomes Research, 24 (4). Retrieved from https://par.nsf.gov/biblio/10529060. https://doi.org/10.1080/14737167.2024.2322664

Sim, Jin-Ah, Huang, Xiaolei, Horan, Madeline R, Baker, Justin N, and Huang, I-Chan. "Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review". Expert Review of Pharmacoeconomics & Outcomes Research 24 (4). Country unknown/Code not available: Taylor and Francis Online. https://doi.org/10.1080/14737167.2024.2322664. https://par.nsf.gov/biblio/10529060.

@article{osti_10529060,
place = {Country unknown/Code not available}, title = {Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review}, url = {https://par.nsf.gov/biblio/10529060}, DOI = {10.1080/14737167.2024.2322664}, abstractNote = {}, journal = {Expert Review of Pharmacoeconomics & Outcomes Research}, volume = {24}, number = {4}, publisher = {Taylor and Francis Online}, author = {Sim, Jin-Ah and Huang, Xiaolei and Horan, Madeline R and Baker, Justin N and Huang, I-Chan}, }