Application of a global age-coding system (“WRP”), based on molts and plumages, for use in demographic and other studies of birds

The Auk ◽  
2021 ◽  
Author(s):  
Peter Pyle ◽  
Marcel Gahbauer ◽  
Erik I Johnson ◽  
Thomas B Ryder ◽  
Jared D Wolfe

Abstract Determination of a bird’s age or cohort is critical for studies on avian demography, occurrence patterns, behavior, and conservation management. Age designations have largely been developed in north-temperate regions and utilize calendar-based or seasonally based codes; however, in tropical regions and in the southern hemisphere, these coding systems have limited utility at best. To address these issues, we had previously devised the “WRP system,” based on the nomenclature of Humphrey and Parkes (H–P) and Howell et al., which defines molts in an evolutionary context applicable to birds globally. Here we refine and build upon core concepts and definitions of the WRP coding system, resolving key limitations that were identified during its first decade of use. The WRP system employs a three-letter alpha code in which each letter describes a different aspect of H–P terminology: the molt cycle (which informs a bird’s age) and molt and plumage status within the cycle (each of which can also inform age). Here we recommend the continued use of most of the original (“core”) WRP coding while augmenting the system with an optional adjunct-code entry for comprehensiveness, clarity, and flexibility, and we clarify a few additional codes to cover less common molting and plumage strategies. For most users, from 7 to 13 core and 1 adjunct WRP code will be sufficient to describe all plumages and provide molt status and ages for demographic studies or other purposes. The revised WRP system is flexible enough to be adapted to the specific goals of programs while also providing core codes that can facilitate the comparison of avian age, molt, and plumage status on a global basis. We anticipate that our revised and standardized version of the WRP system will be easily adopted and could eventually replace calendar-based and seasonally based coding.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jerome Niyirora

Abstract Background Transitioning from an old medical coding system to a new one can be challenging, especially when the two coding systems are significantly different. The US experienced such a transition in 2015. Objective This research aims to introduce entropic measures to help users prepare for the migration to a new medical coding system by identifying and focusing preparation initiatives on clinical concepts with more likelihood of adoption challenges. Methods Two entropic measures of coding complexity are introduced. The first measure is a function of the variation in the alphabets of new codes. The second measure is based on the possible number of valid representations of an old code. Results A demonstration of how to implement the proposed techniques is carried out using the 2015 mappings between ICD-9-CM and ICD-10-CM/PCS. The significance of the resulting entropic measures is discussed in the context of clinical concepts that were likely to pose challenges regarding documentation, coding errors, and longitudinal data comparisons. Conclusion The proposed entropic techniques are suitable to assess the complexity between any two medical coding systems where mappings or crosswalks exist. The more the entropy, the more likelihood of adoption challenges. Users can utilize the suggested techniques as a guide to prioritize training efforts to improve documentation and increase the chances of accurate coding, code validity, and longitudinal data comparisons.


2020 ◽  
Vol 12 (2) ◽  
pp. 161-171
Author(s):  
Tsalits Abdul Aziz Al farisi

The purpose of this research is to describe it 1) how is the coding system for creating poetry. 2) how can  student understand objects in the ward then applied to the text of diction. 3) how can students create certain diction in relation to what one imagines. The methods in this research are using quantitatif methods with model design patterns using media as a basis for finding a purpose the study of literature at SMA Kanjeng Sepuh school X class. The result of this study is the observation table of assessments stuents interest in literature especially the poem. On other side of the observation of teacher and student activities carrying out the study of poetry is also a focus quantitatif data results. The conclusion of this study is to find a point of literary learning accuracy through quantitatif measures in coding systems. It needs to be used to find the concrete steps the literary writing learning pattern that currently is of little interest to students.


10.14311/906 ◽  
2007 ◽  
Vol 47 (1) ◽  
Author(s):  
M. Herrera Martinez

This paper deals with subjective evaluation of audio-coding systems. From this evaluation, it is found that, depending on the type of signal and the algorithm of the audio-coding system, different types of audible errors arise. These errors are called coding artifacts. Although three kinds of artifacts are perceivable in the auditory domain, the author proposes that in the coding domain there is only one common cause for the appearance of the artifact, inefficient tracking of transient-stochastic signals. For this purpose, state-of-the art audio coding systems use a wide range of signal processing techniques, including application of the wavelet transform, which is described here. 


2018 ◽  
Vol 57 (01/02) ◽  
pp. 01-42 ◽  
Author(s):  
Yong Chen ◽  
Marko Zivkovic ◽  
Su Su ◽  
Jianyi Lee ◽  
Edward Bortnichak ◽  
...  

Summary Background: Clinical coding systems have been developed to translate real-world healthcare information such as prescriptions, diagnoses and procedures into standardized codes appropriate for use in large healthcare datasets. Due to the lack of information on coding system characteristics and insufficient uniformity in coding practices, there is a growing need for better understanding of coding systems and their use in pharmacoepidemiology and observational real world data research. Objectives: To determine: 1) the number of available coding systems and their characteristics, 2) which pharmacoepidemiology databases are they adopted in, 3) what outcomes and exposures can be identified from each coding system, and 4) how robust they are with respect to consistency and validity in pharmacoepidemiology and observational database studies. Methods: Electronic literature database and unpublished literature searches, as well as hand searching of relevant journals were conducted to identify eligible articles discussing characteristics and applications of coding systems in use and published in the English language between 1986 and 2016. Characteristics considered included type of information captured by codes, clinical setting(s) of use, adoption by a pharmacoepidemiology database, region, and available mappings. Applications articles describing the use and validity of specific codes, code lists, or algorithms were also included. Data extraction was performed independently by two reviewers and a narrative synthesis was performed. Results: A total of 897 unique articles and 57 coding systems were identified, 17% of which included country-specific modifications or multiple versions. Procedures (55%), diagnoses (36%), drugs (38%), and site of disease (39%) were most commonly and directly captured by these coding systems. The systems were used to capture information from the following clinical settings: inpatient (63%), ambulatory (55%), emergency department (ED, 34%), and pharmacy (13%). More than half of all coding systems were used in Europe (59%) and North America (57%). 34% of the reviewed coding systems were utilized in at least 1 of the 16 pharmacoepidemiology databases of interest evaluated. 21% of coding systems had studies evaluating the validity and consistency of their use in research within pharmacoepidemiology databases of interest. The most prevalent validation method was comparison with a review of patient charts, case notes or medical records (64% of reviewed validation studies). The reported performance measures in the reviewed studies varied across a large range of values (PPV 0-100%, NPV 6-100%, sensitivity 0-100%, specificity 23-100% and accuracy 16-100%) and were dependent on many factors including coding system(s), therapeutic area, pharmacoepidemiology database, and outcome. Conclusions: Coding systems vary by type of information captured, clinical setting, and pharmacoepidemiology database and region of use. Of the 57 reviewed coding systems, few are routinely and widely applied in pharmacoepidemiology database research. Indication and outcome dependent heterogeneity in coding system performance suggest that accurate definitions and algorithms for capturing specific exposures and outcomes within large healthcare datasets should be developed on a case-by-case basis and in consultation with clinical experts.


Author(s):  
Ana Aleixo ◽  
António Pazo Pires ◽  
Lynne Angus ◽  
David Neto ◽  
Alexandre Vaz

Abstract Despite the importance of narrative, emotional and meaning-making processes in psychotherapy, there has been no review of studies using the main instruments developed to address these processes. The objective is to review the studies about client narrative and narrative-emotional processes in psychotherapy that used the Narrative Process Coding System or the Narrative-Emotion Process Coding System (1.0 and 2.0). To identify the studies, we searched The Book Collection, PsycINFO, PsycARTICLES, PsycBOOKS, PEP Archive, Psychology and Behavioral Sciences Collection, Academic Search Complete and the Web of Knowledge databases. We found 27 empirical studies using one of the three coding systems. The studies applied the Narrative Process Coding System and the Narrative-Emotion Process Coding System to different therapeutic modalities and patients with various clinical disorders. In some studies, early, middle and late phases of therapy were compared, while other studies conducted intensive case analyses of Narrative Process Coding System and Narrative-Emotion Process Coding System patterns comparing recovered vs unchanged clients. The review supports the importance to look for the contribution of narrative, emotion, meaning-making patterns or narrative-emotion markers, to treatment outcomes and encourages the application of these instruments in process-outcome research in psychotherapy.


2019 ◽  
Author(s):  
Nicolas Delvaux ◽  
Bert Vaes ◽  
Bert Aertgeerts ◽  
Stijn Van de Velde ◽  
Robert Vander Stichele ◽  
...  

BACKGROUND Effective clinical decision support systems require accurate translation of practice recommendations into machine-readable artifacts; developing code sets that represent clinical concepts are an important step in this process. Many clinical coding systems are currently used in electronic health records, and it is unclear whether all of these systems are capable of efficiently representing the clinical concepts required in executing clinical decision support systems. OBJECTIVE The aim of this study was to evaluate which clinical coding systems are capable of efficiently representing clinical concepts that are necessary for translating artifacts into executable code for clinical decision support systems. METHODS Two methods were used to evaluate a set of clinical coding systems. In a theoretical approach, we extracted all the clinical concepts from 3 preventive care recommendations and constructed a series of code sets containing codes from a single clinical coding system. In a practical approach using data from a real-world setting, we studied the content of 1890 code sets used in an internationally available clinical decision support system and compared the usage of various clinical coding systems. RESULTS SNOMED CT and ICD-10 (International Classification of Diseases, Tenth Revision) proved to be the most accurate clinical coding systems for most concepts in our theoretical evaluation. In our practical evaluation, we found that International Classification of Diseases (Tenth Revision) was most often used to construct code sets. Some coding systems were very accurate in representing specific types of clinical concepts, for example, LOINC (Logical Observation Identifiers Names and Codes) for investigation results and ATC (Anatomical Therapeutic Chemical Classification) for drugs. CONCLUSIONS No single coding system seems to fulfill all the needs for representing clinical concepts for clinical decision support systems. Comprehensiveness of the coding systems seems to be offset by complexity and forms a barrier to usability for code set construction. Clinical vocabularies mapped to multiple clinical coding systems could facilitate clinical code set construction.


2022 ◽  
Author(s):  
Isabelle Franz ◽  
Christine A. Knoop ◽  
Gerrit Kentner ◽  
Sascha Rothbart ◽  
Vanessa Kegel ◽  
...  

Current systems for predicting prosodic prominence and boundaries in texts focus on syntax/semantic-based automatic decoding of sentences that need to be annotated syntactically (Atterer & Klein 2002; Windmann et al. 2011). However, to date, there is no phonetically validated replicable system for manually coding prosodic boundaries and syllable prominence in longer sentences or texts. Based on work in the fields of metrical phonology (Liberman & Prince 1977), phrase formation (Hayes 1989) and existing pause coding systems (Gee and Grosjean 1983), we developed a manual for coding prosodic boundaries (with 6 degrees of juncture) and syllable prominence (8 degrees). Three independent annotators applied the coding system to the beginning pages of four German novels and to four short stories (20 058 syllables, Fleiss kappa .82). For the phonetic validation, eight professional speakers read the excerpts of the novels aloud. We annotated the speech signal automatically with MAUS (Schiel 1999). Using PRAAT (Boersma & Weenink 2019), we extracted pitch, duration, and intensity for each syllable, as well as several phonetic parameters for pauses, and compared all measures obtained to the theoretically predicted levels of syllable prominence and prosodic boundary strength. The validation with the speech signal shows that our annotation system reliably predicts syllable prominence and prosodic boundaries. Since our annotation works with plain text, there are many potential applications of the coding system, covering research on prose rhythm, synthetic speech and (psycho)linguistic research on prosody.


2003 ◽  
Vol 42 (03) ◽  
pp. 236-242 ◽  
Author(s):  
R. Jameson ◽  
D. P. Lorence

Summary Objective: Assessment of the adoption of automated classification (encoder) systems in healthcare settings and related effects on perceived data quality. Methods: Survey of all U.S. accredited medical records managers, summarizing their reports of automated encoding systems and data quality change following adoption of systems. Results: Significant improvement in data was seen from adoption of automated encoding systems, though variation existed across regions and key demographic variables. Conclusion: At a national level, there is a need to minimize data quality variation and ensure some degree of nationwide uniformity in the performance of coding systems. If healthcare providers are expected to trust coded data for comparative purposes, there will be a like need for more uniform and standardized system-based performance benchmarks.


Author(s):  
Dimitra Petroudi ◽  
Athanasios Zekios

The introduction of information systems in health progressively led tï coding systems. The purposes of these systems are: recording causes of death, coding diseases and procedures, etc. The most important medical coding system in our days is ICD (International Classification of Diseases). Other coding systems that health professionals use are: SNOMED, LOINC, MeSH, UMLS, DSM, DRG and HCPCS. There are also many Nursing Classification Systems, such as: NANDA, NIC, NOC, ICNP, Omaha and HHCC. This chapter describes these coding systems and their advantages.


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