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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text.
JMIR Med Inform
January 2025
Medical Big Data Research Center, Chinese PLA General Hospital, Beijing, China.
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Classification of Diseases (ICD) codes in real time, thereby enhancing the efficiency of diagnosis and treatment. However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. Existing approaches, such as naive Bayes, Word2Vec, and convolutional neural networks, have limitations in handling missing values and understanding the context of medical texts, leading to a high error rate.
View Article and Find Full Text PDFAnalysis of short- and delayed unplanned readmission rates after anterior discectomy and fusion for CSM.
J Clin Neurosci
December 2024
Department of Neurosurgery, Zucker School of Medicine at Hofstra, Long Island Jewish Medical Center and North Shore University Hospital, Northwell Health, Manhasset, NY, United States.
Introduction: Many patients with cervical spondylotic myelopathy (CSM) undergo anterior cervical discectomy and fusion (ACDF). Many of these patients are readmitted, but there is no clear understanding of drivers of readmission. The aim of this study was to assess the patient- and hospital-level factors that contribute to 7-, 30-, and 90-day readmissions after treatment of CSM.
View Article and Find Full Text PDFClassification of direct threats to the conservation of ecosystems and species 4.0.
Conserv Biol
December 2024
Foundations of Success & CMP, New York, New York, USA.
Identifying and assessing the magnitude of direct threats to ecosystems and species are critical steps to prioritizing, planning, implementing, and assessing conservation actions. Just as medical clinicians and researchers need a standard way to talk about human diseases, conservation practitioners and scientists need a common and comprehensive language to talk about the threats they are facing to facilitate joint action, evaluation, and learning. To meet this need, in 2008 the IUCN Species Survival Commission and the Conservation Measures Partnership produced the first version of a common threats classification with the understanding that it would be periodically updated to take into account new information and learning.
View Article and Find Full Text PDFMaternal mortality in Italy estimated by the Italian Obstetric Surveillance System.
Sci Rep
December 2024
National Centre for Diseases Prevention and Health Promotion, Istituto Superiore di Sanità, Rome, Italy.
This study aimed to calculate Italy's first national maternal mortality ratio (MMR) through an innovative record-linkage approach within the enhanced Italian Obstetric Surveillance System (ItOSS). A record-linkage retrospective cohort study was conducted nationwide, encompassing all women aged 11-59 years with one or more hospitalizations related to pregnancy or pregnancy outcomes from 2011 to 2019. Maternal deaths were identified by integrating data from the Death Registry and national and regional Hospital Discharge Databases supported by the integration of findings from confidential enquiries conducted through active surveillance.
View Article and Find Full Text PDFLost Work Due to Burn-Related Disability in a US Working Population.
Eur Burn J
December 2024
Department of Surgery, University of Michigan, 2101 Taubman Center, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
Background: Burn injuries can require hospitalization, operations, and long-term reconstruction. Burn-injured patients can experience short- or long-term disability. We investigated lost workdays (LWDs), short-term disability (STD), and long-term disability (LTD) in the 12-month period following a burn injury.
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