quality of VTE code reporting [13], with important implications for academic research, VTE surveillance, health insurance reimbursement, resource allocation, and the development of tools (such as clinical risk scores or prediction models) based on VTE ICD-10 codes [[14], [15], [16], [17]]...
In the first strategy, the initial part of the Apriori algorithm is used for finding the sets ICD-10 codes that frequently appear together in the training data (i.e., the frequent itemsets). These sets of auxiliary codes are used to initialize the weight matrices for the output nodes, fol...
Code Issues Pull requests The ICD (Incremental Induction Competitive Disjunction) algorithm is a machine learning method used for classification tasks. python machine-learning machine-learning-algorithms ml icd ml-python incremental-induction-competitive-disjunction Updated Jul 1, 2023 Python inner...
ICD code predictionTRIPODNLP in surgeryTraumaICDBERT.Objective: To 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.Background: The adoption of ...
We summarized the current mapping statistics and evaluated the quality of the current MedDRA-ICD mapping; for unmapped terms, we used our self-developed algorithm to rank the best possible mapping candidates for additional mapping coverage. Results The identified MedDRA-ICD mapped pairs cover 27.23%...
The ranking algorithm would find the best-matched term based on the current string instead of adding details, such as body position, that ICD codes usually have. This will result in best-matched ICD codes’ being broader than PT terms, which is why the percentage of “PT term narrower than...
We utilized the "approximate match" function from the UMLS Metathesaurus and our self-developed computer algorithm to compare the unmapped terms from MedDRA and similar terms from ICD codes, as described previously. To ensure the quality of manual annotation, for both evaluations, we first assigned...
Kuo RN, Dong YH, Liu JP, Chang CH, Shau WY, Lai MS: Predicting healthcare utilization using a pharmacy-based metric with the WHO’s anatomic therapeutic chemical algorithm. Med Care. 2011, 49: 1031-1039. 10.1097/MLR.0b013e31822ebe11. Article PubMed Google Scholar Gilmer T, Kronick R...
we analyze the latest best practices for medical code prediction and propose an algorithm to predict the medical codes of both the procedures applied to a patient and the diagnoses made by the doctors. We use the publicly available MIMIC-III healthcare dataset[2]collected in the patient recovery...
Fig. 6. The algorithm for calculating Pro_K. 4. Results We selected the most frequent top-N codes10 in Fuwai-CHD and MIMIC- III-CHD to predict, and only the records involving at least one of the selected codes were used for model building. 4.1. For multiple top-N codes We let N ...