A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma

Aaro Haapaniemi, Antti Mäkitie, Pekka Kekolahti, Olli-Pekka Ryynänen

Research output: Contribution to journal › Letter › Scientific

Fields of Science

@article{12f1cd21f1d843dfb0ce1455e15e6316,

title = "A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma",

keywords = "GLOTTIC CANCER, 3122 Cancers, 313 Dentistry",

author = "Aaro Haapaniemi and Antti M{\"a}kitie and Pekka Kekolahti and Olli-Pekka Ryyn{\"a}nen",

year = "2019",

month = nov,

doi = "10.1016/j.oraloncology.2019.09.007",

language = "English",

volume = "98",

pages = "162--164",

journal = "Oral Oncology",

issn = "1368-8375",

publisher = "Elsevier Scientific Publ. Co",

}

TY - JOUR

T1 - A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma

AU - Haapaniemi, Aaro

AU - Mäkitie, Antti

AU - Kekolahti, Pekka

AU - Ryynänen, Olli-Pekka

PY - 2019/11

Y1 - 2019/11

KW - GLOTTIC CANCER

KW - 3122 Cancers

KW - 313 Dentistry

U2 - 10.1016/j.oraloncology.2019.09.007

DO - 10.1016/j.oraloncology.2019.09.007

M3 - Letter

VL - 98

SP - 162

EP - 164

JO - Oral Oncology

JF - Oral Oncology

SN - 1368-8375

ER -