Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining.

Haas, Oliver; Lopera Gonzalez, Luis Ignacio; Hofmann, Sonja; Ostgathe, Christoph; Maier, Andreas; Rothgang, Eva; Amft, Oliver; Steigleder, Tobias.

Afiliação

Haas O; Department of Industrial Engineering and Health, Institute of Medical Engineering, Technical University Amberg-Weiden, Weiden, Germany.
Lopera Gonzalez LI; Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University, Erlangen-Nürnberg, Germany.
Hofmann S; Chair of Digital Health, Friedrich-Alexander University, Erlangen-Nürnberg, Germany.
Ostgathe C; Department of Palliative Medicine, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-University, Erlangen-Nürnberg, Germany.
Maier A; Department of Palliative Medicine, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander-University, Erlangen-Nürnberg, Germany.
Rothgang E; Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University, Erlangen-Nürnberg, Germany.
Amft O; Department of Industrial Engineering and Health, Institute of Medical Engineering, Technical University Amberg-Weiden, Weiden, Germany.
Steigleder T; Chair of Digital Health, Friedrich-Alexander University, Erlangen-Nürnberg, Germany.

Front Digit Health ; 3: 724049, 2021.

Article em En | MEDLINE | ID: mdl-34713190