Further Evaluation Of The Advanced Prediction Method EVICD For Arbitrary Multiaxial LoadingEVICD, a fatigue prediction method for arbitrarily multiaxially loaded complex components, has reached a standard which is of interest for a more general engineering application. Comparisons of EVICD predictions to...
First, in terms of coverage evaluation, we investigate the mapped terms between the two terminologies based on UMLS and the OMOP vocabulary. Second, we sampled the unmapped terms in UMLS and summarize the unmapped situations to guide future improvement of the mappings. Since 2015, ICD-10-...
A Two-Stream Deep Model is proposed for Automated ICD-9 Code Prediction in an Intensive Care Unit. • Multi-Stream Network Boost: Employing multi-stream network enhances ICD code prediction performance. • Tailored Stream Differentiation: Customizing streams for each ICD code optimizes predictio...
cross-sentence understanding of the text. The model had a 10% evaluation set created randomly to calculate a validation loss to determine the number of training epochs required. The training ended when evaluation loss increased, occurring beyond epoch 8, with the final model selected for downstream...
the attention weights from its top layer give hints on how the models allocate importance for input tokens. in specific, the feature vector for code prediction is the weighted average of all embeddings of input tokens from the top layer. higher attention weights mean more important roles of corr...
The ICD-9 diagnostic code for cervical somatic dysfunction is 739.1. • Although other codes are used, they are not specific as indicators for manual treatment. • Physical evaluation procedures for CHA are the same as for upper back and neck pain (see Chapter 6). A general screening exam...
Evaluation of the predictive value of ICD-9-CM coded administrative data for venous thromboembolism in the United States To determine the positive predictive value of International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) discharge codes for a... RH White,M Garcia,...
In specific, the feature vector for code prediction is the weighted average of all embeddings of input tokens from the top layer. Higher attention weights mean more important roles of corresponding tokens in computing the feature vector. By observing the distribution of the weights, we can gain ...
Evaluation of the New Multiaxial Crack Initiation Life Prediction Method EVICD for a Modern Tubes SteelFor a prediction of the crack initiation life under arbitrary multiaxial conditions W. Ott proposed the loading EVent Independent incremental Cumulative Damage (EVICD) prediction method. In contrast ...
(2020) [17] presented a preliminary evaluation of the Cross-lingual Language Model (XLM) architecture, a multilingual transformer-based model, tested in ICD-10 multilabel classification. The XLM model was fine-tuned on English training data, and tested for ICD-10 codes prediction in an Italian...