Fang, Xingang, Klawohn, Julia, De Sabatino, Alexander, Kundnani, Harsh, Ryan, Jonathan, Yu, Weikuan, and Hajcak, Greg. Accurate classification of depression through optimized machine learning models on high-dimensional noisy data. Retrieved from https://par.nsf.gov/biblio/10321841. Biomedical Signal Processing and Control 71.PB Web. doi:10.1016/j.bspc.2021.103237.

Fang, Xingang, Klawohn, Julia, De Sabatino, Alexander, Kundnani, Harsh, Ryan, Jonathan, Yu, Weikuan, & Hajcak, Greg. Accurate classification of depression through optimized machine learning models on high-dimensional noisy data. Biomedical Signal Processing and Control, 71 (PB). Retrieved from https://par.nsf.gov/biblio/10321841. https://doi.org/10.1016/j.bspc.2021.103237

Fang, Xingang, Klawohn, Julia, De Sabatino, Alexander, Kundnani, Harsh, Ryan, Jonathan, Yu, Weikuan, and Hajcak, Greg. "Accurate classification of depression through optimized machine learning models on high-dimensional noisy data". Biomedical Signal Processing and Control 71 (PB). Country unknown/Code not available. https://doi.org/10.1016/j.bspc.2021.103237. https://par.nsf.gov/biblio/10321841.

@article{osti_10321841,
place = {Country unknown/Code not available}, title = {Accurate classification of depression through optimized machine learning models on high-dimensional noisy data}, url = {https://par.nsf.gov/biblio/10321841}, DOI = {10.1016/j.bspc.2021.103237}, abstractNote = {}, journal = {Biomedical Signal Processing and Control}, volume = {71}, number = {PB}, author = {Fang, Xingang and Klawohn, Julia and De Sabatino, Alexander and Kundnani, Harsh and Ryan, Jonathan and Yu, Weikuan and Hajcak, Greg}, }