Tag: diagnosis

The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts medical images of cancer for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image moda ...

LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations. LOINC is a catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized ...

The objective of the STARD initiative is to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study (internal validity) and to evaluate its generalisability ...

ICD-10 is the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD), a medical classification list by the World Health Organization. It contains codes for diseases, signs and symptoms, abnormal fi ...

CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer describing the therapeutic, prognostic, diagnostic and predisposing relevance of inherited and somatic variants of all types. Realizing precision medicine ...

RadLex is a comprehensive lexicon—a unified language of radiology terms—for standardized indexing and retrieval of radiology information resources. With more than 68,000 terms, RadLex satisfies the needs of software developers, system vendors and rad ...

International Dystrophic Epidermolysis Bullosa Patient Registry (DEB Register) provides phenotypic and genotypic information on DEB and the related COL7A1 mutations. The registry is intended to aid in disease diagnosis, genetic counseling, and discov ...

AI/RHEUM is used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and h ...

The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phen ...

Orphanet Rare Diseases Ontology (ORDO) provide a structured vocabulary for rare diseases capturing relationships between diseases, genes and other relevant features which will form a useful resource for the computational analysis of rare diseases.

The symptom ontology was designed around the guiding concept of a symptom being: "A perceived change in function, sensation or appearance reported by a patient indicative of a disease". There is a close relationship between Signs and Symptoms, where ...

DNMIVD is a comprehensive annotation and interactive visualization database for DNA methylation profile of diverse human cancer constructed with high throughput microarray data from TCGA and GEO databases, and it also integrates some data from Pancan ...

The Ontology for General Medical Science (OGMS) is an ontology of entities involved in a clinical encounter. OGMS includes very general terms that are used across medical disciplines, including: 'disease', 'disorder', 'disease course', 'diagnosis', ' ...

The International Classification of Primary Care, 2nd Edition (ICPC-2) classifies patient data and clinical activity in the domains of General/Family Practice and primary care, taking into account the frequency distribution of problems seen in these ...

The International Classification of Diseases (ICD) was created to allow the recording, reporting and grouping of conditions and factors that influence health. It contains categories for diseases, health related conditions, and external causes of illn ...

The ICD is the international standard diagnostic classification for all general epidemiological, many health management purposes and clinical use. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) is an ad ...

The ICD-10 Procedure Coding System (ICD-10-PCS) is an international system of medical classification used for procedural coding. The ICD-10-PCS is a procedure classification published by the United States for classifying procedures performed in hospi ...

The Radiology Gamuts Ontology (RGO) is a knowledge resource for radiology diagnosis. RGO hosts more than 2,000 differential-diagnosis listings for imaging findings in all body systems. One can view all of the causes of an finding, then click on one o ...

Read Codes are a coded thesaurus of clinical terms. They have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3). Both versions provide a standard vocabulary for clinicians to record patient findings an ...

The Diagnostic Ontology is a computational diagnostic ontology containing 91 elements, including classes and sub-classes, which are required to conduct Systematic Reviews - Meta Analysis (SR-MA) for diagnostic studies, which will assist in standardiz ...

The Autism DSM-ADI-R (ADAR) ontology uses SWRL rules to infer phenotypes from ADI-R items. It includes OWL class definitions representing DSM IV diagnostic criteria for autistic disorder and ASD criteria for Autism Spectrum Disorder. The goal is to c ...

The International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) is a morbidity classification for classifying diagnoses and reason for visits in all American health care settings. The ICD-10-CM is based on the ICD-10, ...

Global Project Management System Tuberculosis Transportal (GPMS TB Transportal) is a digital platform piloting TB surveillance in the 4 districts of Karnataka. It is an integrated dashboard that contains the information of all the TB control programs ...

OntoPneumo is an ontology for describing pneumology (french version). Their goal is to use natural language within the ontology to express the meaning of each concept using differential principles inherited from Differential Semantics theory. OntoPne ...

Breast Cancer Grading Ontology assigns a grade to a tumor starting from the 3 criteria of the NGS.

This study aims to improve the diagnostic accuracy of child pneumonia by using automated lung sound classification through digital auscultation.

Asthma is common in the UK. Accurate diagnosis is essential for good asthma management. Yet uncertainty about the best way to diagnose asthma can lead to missed diagnoses and under-treatment, or over-diagnosis leading to unnecessary treatmen. <p>Asth ...

This project aims to work with primary care doctors in the Pune district in India, to determine their thoughts on the diagnosis and management of lung conditions. This datasets contains quantitative and qualitative data. Quantitative data is collecte ...

This uses the data within PPM+, the EHR for the Leeds Cancer Centre and Leeds Teaching Hospitals. It includes all patients diagnosed with cancer since 1990, all chemotherapy since 1993, all radiotherapy since 1994. It integrates all sources of EHR da ...

Cancer Network Information System includes multidisciplinary team diagnosis, proposed treatments, and a system-generated summary of the patient’s cancer record.

Through the collaboration with Exeter the South West Cancer Alliance has submitted primary care datasets

Record-level patient data set of patients attending outpatient clinics at NHS hospitals in England. A record represents one appointment.

Cancer diagnoses before and after hospitalisation. This dataset includes 907 patients from 2004 to present, including granular ethnicity, multi morbidity, serial physiology, blood biomarkers, intervention and outcome data.

Record-level patient data set of patients admitted for treatment at NHS hospitals in England, including delivery and birth data. A record represents one episode.

Record-level patient data set of patients attending Accident and Emergency Departments (including minor injury units and walk-in centres) in England. A record represents one attendance.

Demography, physiology, injury status, muscle and blood biomarkers for Acute compartment syndrome patients, including intra-compartmental pressure and tissue oxygenation data alongside clinical observations and treatments.

AMD Dataset at Moorfields Eye Hospital NHS Foundation Trust is a longitudinal dataset consisting of routinely collected imaging and clinical metadata from patients receiving treatment for age-related macular degeneration (AMD) from 2004 to the presen ...

The Imaging and Ocular Phenotype Bioresource at Moorfields Eye Hospital NHS Foundation Trust is a longitudinal eye imaging dataset comprising routinely collected patient data from 2001 to the present. This dataset has in excess of 13M high quality im ...

Record-level patient data set of patients admitted for treatment and receiving Critical Care (intensive care or high dependency care) at NHS hospitals in England. A record represents one episode of Critical Care.

CAP is common, has variable outcomes and a complex management pathway. Hospital-based decision support algorithms would be highly valuable. This is a diverse and realistic synthetic dataset of 15,000 “CAP patients” to facilitate algorithm development ...

The DMO Dataset at Moorfields Eye Hospital NHS Foundation Trust is a longitudinal dataset consisting of routinely collected imaging and clinical metadata from patients receiving treatment for diabetic macular oedema (DMO) from 2004 to the present.

NHS Digital’s Trusted Research Environment service for England provides approved researchers with access to essential linked, de-identified health data to answer COVID-19 related questions. TRE service provides researchers support on data access requ ...

The mission of the platform is to enable access for academic projects towards experiments in high-throughput without loss of IP and on a cost basis, which does not restrict access towards HTS usage. The FMP hosts the central open access technology pl ...