Đang chuẩn bị liên kết để tải về tài liệu:
Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: A multilevel cohort model

Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ

Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropriately coded. |

TÀI LIỆU LIÊN QUAN

Using clinical reasoning ontologies to make smarter clinical decision support systems: A systematic review and data synthesis

Optimizing the synthesis of clinical trial data using sequential trees

Development of an integrated predictive model for postoperative glioma-related epilepsy using gene-signature and clinical data

Assessment of various continual reassessment method models for doseescalation phase 1 oncology clinical trials: Using real clinical data and simulation studies

Landscape of clinical trial activity focusing on Indigenous health in Australia: An overview using clinical trial registry data from 2008-2018

Continual reassessment method for dose escalation clinical trials in oncology: A comparison of prior skeleton approaches using AZD3514 data

Comprehensive analysis of the associations between clinical factors and outcomes by machine learning, using post marketing surveillance data of cabazitaxel in patients with castration-resistant prostate cancer

Using knowledge-driven genomic interactions for multi-omics data analysis: Metadimensional models for predicting clinical outcomes in ovarian carcinoma

Classification based on extensions of LS-PLS using logistic regression: Application to clinical and multiple genomic data

Priority-Lasso: A simple hierarchical approach to the prediction of clinical outcome using multi-omics data