The index 2014 ISASS Policy Statement - Minimally Invasive Sacroiliac Joint Fusion was generated out of necessity to provide an ICD9-based background and emphasize tools to ensure correct diagnosis. A timely ICD10-based 2016 Update provides a granular threshold selection with improved level of evidence and a more robust, relevant database.

background the collection of information concerning neoplasm is of major interest, but medical data are only meaningful once they are classified according to a valid and reliable classification. so the purpose of this study was to survey current neoplasm classification systems. material and methods this research study is descriptive and useable. information’s collected by library studies and by...

BACKGROUND The term 'lower value services' concerns healthcare that is of little or no value to the patient and consequently should not be provided routinely, or not be provided at all. De-adoption of lower value care may occur through explicit recommendations in clinical guidelines. The present study aimed to generate a comprehensive list of lower value services for the Netherlands that assess...

AMA: Acute Medical Department; ATC: Anatomical Therapeutic Chemical; COPD: Chronic Obstructive Pulmonary Disease; CPR: Central Person Register; CRP: C-Reactive Protein; DDD: Defined Daily Doses; EPJ: Electronic Patients Journal; FDC: Fixed Dose Combination; FPAS: Funen Patients Administrative System; GINA: Global Initiative for Asthma; ICD10: International Classification of Disease – 10th editi...

SIR—Several studies have shown that elderly medical inpatients frequently report significant depressive symptoms, defined as six or more symptoms using the 15-item Geriatric Depression Scale (GDS) [1–3]. Although these patients might not all meet the criteria-based diagnosis of major depression (e.g. ICD10 or DSMIV), several studies suggest that even minor and subsyndromal depression that do no...

We construct a supervised learning system to participate MedNLP2 task in NTCIR-11 that find the keyword out correctly at right position and normalize to identify unique id in ICD10 [4]. In our system, We pick part-of-speech tagging (POS) [1] as feature to train machine learning models based on Conditional Random Fields (CRF) [3] for named entities extraction, then construct a hierarchical class...

Abstract Standard reference terminology of diagnoses and risk factors is crucial for billing, epidemiological studies, inter/intranational comparisons diseases. The International Classification Disease (ICD) a standardized widely used method, but the manual classification an enormously time-consuming endeavor. Natural language processing together with machine learning allows automated structuri...

The authors present the framework of formal representation of ICD10 based on DOLCE. The goal of the work is to represent the meaning of the categories of the classification systems based on a formal top-level ontology. The ICD categories are described in the space of atomic disease concepts, while the diseases themselves are defined on a pathological basis. The anatomical entities are taken fro...

Introduction Mortality data are widely used to describe and compare health characteristics between countries. The International Classification of diseases (ICD), published and updated by the World Health Organisation (WHO), is used by most countries to code causes of death [OMS92]. ICD is now more than one century old and the last revision of this classification (ICD10), reflecting the increasi...

Methods Using primary cause of death (Statistics Netherlands) we modeled weekly timeseries of 1) respiratory deaths (ICD10 codes J00-J99) and 2) circulatory deaths (ICD10 codes I00-I99). We used regression models with an identity link and Poisson error to relate mortality to counts of influenza A & B diagnoses. We adjusted for other common respiratory pathogens (all pathogen data was at populat...