Wang, Lujia, Zheng, Zhiyang, Su, Yi, Chen, Kewei, Weidman, David, Wu, Teresa, Lo, ShihChung, Lure, Fleming, and Li, Jing. Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer. Retrieved from https://par.nsf.gov/biblio/10566763. IISE Transactions on Healthcare Systems Engineering 14.2 Web. doi:10.1080/24725579.2023.2249487.

Wang, Lujia, Zheng, Zhiyang, Su, Yi, Chen, Kewei, Weidman, David, Wu, Teresa, Lo, ShihChung, Lure, Fleming, & Li, Jing. Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer. IISE Transactions on Healthcare Systems Engineering, 14 (2). Retrieved from https://par.nsf.gov/biblio/10566763. https://doi.org/10.1080/24725579.2023.2249487

Wang, Lujia, Zheng, Zhiyang, Su, Yi, Chen, Kewei, Weidman, David, Wu, Teresa, Lo, ShihChung, Lure, Fleming, and Li, Jing. "Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer". IISE Transactions on Healthcare Systems Engineering 14 (2). Country unknown/Code not available: IISE. https://doi.org/10.1080/24725579.2023.2249487. https://par.nsf.gov/biblio/10566763.

@article{osti_10566763,
place = {Country unknown/Code not available}, title = {Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer}, url = {https://par.nsf.gov/biblio/10566763}, DOI = {10.1080/24725579.2023.2249487}, abstractNote = {}, journal = {IISE Transactions on Healthcare Systems Engineering}, volume = {14}, number = {2}, publisher = {IISE}, author = {Wang, Lujia and Zheng, Zhiyang and Su, Yi and Chen, Kewei and Weidman, David and Wu, Teresa and Lo, ShihChung and Lure, Fleming and Li, Jing}, }