Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification

@inproceedings{pub16716,
    author = {

Winter, Alexander
 and 

Kirsten, Toralf
 and 

Hartwig, Mattis
},
    editor = {

Moita, Ana
 and 

Bühler, Katja
 and 

Ali, Hesham
 and 

Deng, Ning
 and 

Chouvarda, Ioanna
 and 

Cabitza, Federico
 and 

Fred, Ana
 and 

Gamboa, Hugo
},
    title = {Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification},
    booktitle = {Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2023), 16th International Joint Conference, BIOSTEC 2023, Lisbon, Portugal, February 16–18, 2023, Revised Selected Papers, February 16-18, Lisbon, Portugal
},
    year = {2024},
    month = {7},
    pages = {84--106},
    organization = {INSTICC},
    publisher = {Springer Nature Switzerland},
    isbn = {978-3-031-67088-6}
}