16 papers · ranked by Valyu relevance
Dan-feng Zhao, Hai Tian, Rui Xue
This paper studies an adaptive coding scheme for B5G (beyond 5th generation) mobile system-enhanced transmission technology. Different from the existing works, the authors develop a class of rate-compatible, non-binary, low-density parity check (RC-NB-LDPC) codes, which expresses the strong connection between the…
Jorge F. Silva, Milan S. Derpich
This work demonstrates a formal connection between density estimation with a data-rate constraint and the joint objective of fixed-rate universal lossy source coding and model identification introduced by Raginsky in 2008 (IEEE TIT, 2008, 54, 3059-3077). Using an equivalent learning formulation, we derive a necessary…
Kate Roberts, Anthony Dowell, Jing-Bao Nie
Background Navigating the world of qualitative thematic analysis can be challenging. This is compounded by the fact that detailed descriptions of methods are often omitted from qualitative discussions. While qualitative research methodologies are now mature, there often remains a lack of fine detail in their…
Ying Chen, Jianrong Bao, Yanhai Shang, Chao Liu + 5 more
To obtain efficient channel codes with high power efficiency at moderate signal-to-noise ratios (SNRs), an efficient high-rate protograph quasi-cyclic (QC) low-density parity-check (LDPC) codes is optimally constructed. By an optimized protograph template, the code framework is firstly produced by the extensions of the…
Jesús Gutiérrez-Gutiérrez, Marta Zárraga-Rodríguez, Fernando M. Villar-Rosety, Xabier Insausti
'Fernando M. Villar-Rosety' 'Xabier Insausti'] In this paper, we give upper bounds for the rate-distortion function (RDF) of any Gaussian vector, and we propose coding strategies to achieve such bounds. We use these strategies to reduce the computational complexity of coding Gaussian asymptotically wide sense…
Thomas Beaney, Jonathan Clarke, David Salman, Thomas Woodcock + 3 more
'Azeem Majeed' 'Mauricio Barahona' 'Paul Aylin'] Objectives To determine whether the frequency of diagnostic codes for long-term conditions (LTCs) in primary care electronic healthcare records (EHRs) is associated with (1) disease coding incentives, (2) General Practice (GP), (3) patient sociodemographic…
Chaiwat Washirasaksiri, Prateep Raksasagulwong, Charoen Chouriyagune, Pochamana Phisalprapa + 1 more
'Pochamana Phisalprapa' 'Weerachai Srivanichakorn'] Background Although death certificates (DCs) provide valuable health information which may help to guide local health policies and priorities, there is little information concerning their validity in Thailand. First-year general practitioners (GPs) have a major role…
Yuan Gao, Pengyu Liu, Yueying Wu, Kebin Jia + 2 more
'You Yang'] In high efficiency video coding (HEVC), coding tree contributes to excellent compression performance. However, coding tree brings extremely high computational complexity. Innovative works for improving coding tree to further reduce encoding time are stated in this paper. A novel low complexity coding tree…
Inge Stortenbeker, Lisa Salm, Tim olde Hartman, Wyke Stommel + 2 more
'Enny Das' 'Sandra van Dulmen'] Background The quality of communication between healthcare professionals (HCPs) and patients affects health outcomes. Different coding systems have been developed to unravel the interaction. Most schemes consist of predefined categories that quantify the content of communication (the…
Gena Nelson, Sarah Quinn, Sean Grant, Shaina D. Trevino + 5 more
Study coding is an essential component of the research synthesis process. Data extracted during study coding serve as a direct link between the included studies and the synthesis results, allowing reviewers to justify claims about the findings from a set of related studies. The purpose of this tutorial is to provide…
Nora Tu, Mackenzie Henderson, Meera Sundararajan, Maribel Salas
Background International Classification of Diseases, Ninth/Tenth revisions, clinical modification (ICD-9-CM, ICD-10-CM) are frequently used in the U.S. by health insurers and disease registries, and are often recorded in electronic medical records. Due to their widespread use, ICD-based codes are a valuable source of…
Lukasz Aleksandrowicz, Varun Malhotra, Rajesh Dikshit, Prakash C Gupta + 10 more
'Prakash C Gupta' 'Rajesh Kumar' 'Jay Sheth' 'Suresh Kumar Rathi' 'Wilson Suraweera' 'Pierre Miasnikof' 'Raju Jotkar' 'Dhirendra Sinha' 'Shally Awasthi' 'Prakash Bhatia' 'Prabhat Jha'] Background Verbal autopsy (VA) has been proposed to determine the cause of death (COD) distributions in settings where most deaths…
Juan Rico, Luis Javier Echevarría-González de Garibay, María García-López, Sandra Guardiola-Vilarroig + 3 more
'María García-López' 'Sandra Guardiola-Vilarroig' 'Luis Alberto Maceda-Roldán' 'Óscar Zurriaga' 'Clara Cavero-Carbonell'] Background Rare diseases present a wide spectrum of clinical manifestations and severity levels and are often poorly known and underrepresented, making them difficult to classify. Diagnoses are…
Etienne-Victor Depasquale, Humaira Abdul Salam, Franco Davoli
We suggest an enhancement to structural coding through the use of (a) causally bound codes, (b) basic constructs of graph theory and (c) statistics. As is the norm with structural coding, the codes are collected into categories. The categories are represented by nodes (graph theory). The causality is illustrated…
Ji Yeon Kim, Bruce A. Beckwith
Statistics on diseases and causes of death have been important to governments for a wide variety of reasons, including tracking changes in population health, guiding resource allocation, setting research agendas, among others. In 1893, the World Health Organization (WHO) established the International List of Causes of…
Markus Wübbeler, Sebastian Geis, Jovana Stojanovic, Lise Elliott + 2 more
'Iñaki Gutierrez-Ibarluzea' 'Irene Lenoir-Wijnkoop'] Introduction: An important requirement for successful public health interventions is a standardized classification in order to make these health technologies comparable in all contexts and recognized by all parties. The WHO International Classification of Health…