Hideyuki Tanushi

Detection of Hospital Acquired Infections in sparse and noisy Swedish patient records : A machine learning approach using Naïve Bayes, Support Vector Machines and C4.5

Hercules Dalianis, Claudia Ehrentraut, Hideyuki Tanushi, 2012 .

Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg

Maria Kvist, Sumithra Velupillai, Hercules Dalianis, 2013, NODALIDA.

Detection of Healthcare-Associated Urinary Tract Infection in Swedish Electronic Health Records

Maria Kvist, Hideyuki Tanushi, Elda Sparrelid, 2014, InMed.

HokuMed in NTCIR-11 MedNLP-2: Automatic Extraction of Medical Complaints from Japanese Health Records Using Machine Learning and Rule-based Methods

Kenji Araki, Rafal Rzepka, Maria Skeppstedt, 2014, NTCIR.

Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting

Jörg Tiedemann, Hercules Dalianis, Claudia Ehrentraut, 2016, Health Informatics J..

Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text

Hercules Dalianis, Aron Henriksson, Hideyuki Tanushi, 2021, HEALTHINF.