Naoki Nakashima


Prediction of Key Patient Outcome from Sentence and Word of Medical Text Records
Takanori Yamashita | Yoshifumi Wakata | Hidehisa Soejima | Naoki Nakashima | Sachio Hirokawa
Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)

The number of unstructured medical records kept in hospital information systems is increasing. The conditions of patients are formulated as outcomes in clinical pathway. A variance of an outcome describes deviations from standards of care like a patient’s bad condition. The present paper applied text mining to extract feature words and phrases of the variance from admission records. We report the cases the variances of “pain control” and “no neuropathy worsening” in cerebral infarction.