ICD code predictionTRIPODNLP in surgeryTraumaICDBERTTo develop and validate TraumaICDBERT, a natural language processing algorithm to predict injury International Classification of Diseases, 10th edition (ICD-10) diagnosis codes from trauma tertiary survey notes.#The adoption of ICD-10 diagnosis codes ...
data-science machine-learning data-mining research big-data data-visualization datascience webapp data-analysis research-tool pattern-recognition datamining healthcare-application icd-9 medical-informatics sequence-analysis icd sequence-mining disease-prediction Updated Mar 21, 2019 Java prkskrs / icd-1...
Since 2015, ICD-10-Clinical Modification (ICD-10-CM) has gradually replaced ICD-9-CM as the reimbursement code [19]; however, for a long time, the predominant coding scheme in many EHR/EMR databases was ICD-9-CM [5]. Thus, it is important to study the mapping status between MedDRA ...
aiming to enhance the generalisability of our models. We explore the additional fine-tuning of PetBERT and the downstream classification tasks to produce PetBERT-ICD for the automated ICD-11 classification tool. To underscore the real-world applicability of our approach, we demonstrate its effectivene...
Rutledge R, Osler T, Emery S, Kromhout-Schiro S (1998) The end of the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS): ICISS, an International Classification of Diseases, ninth revision-based prediction tool, outperforms both ISS and TRISS as predictors of ...
Prediction of mortality in patients undergoing maintenance hemodialysis by Charlson co- morbidity index using ICD-10 database. Nephron Clin Pract 2011;117:c374 -84.Chae, JW, Song, CS, Kim, H, Lee, KB, Seo, BS, Kim, DI (2011) Prediction of mortality in patients undergoing maintenance ...
Kim, "Prediction of mortality in patients undergoing maintenance hemodialysis by Charlson Comorbidity Index using ICD-10 database," Nephron: Clinical Practice, vol. 117, no. 4, pp. c379-c384, 2011.Chae JW, Song CS, Kim H et al. Prediction of mortality in patients undergoing maintenance ...
Finally, we investigated which prediction variables play a prominent role in predicting hospital readmission. The performance of all models was evaluated using the Area Under the ROC Curve (AUC) measure. All models have the best predictive results using Random Forests. An added value of 7% is ...
In addition, our work may be used as a primary evaluation tool for discomfort in the rural area where medical resources are restricted. Keywords: diagnosis code prediction; convolutional neural network; ICD-9; medical record1. Introduction In recent years, deep learning techniques have evolved and...