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Biological data works closely with bioinformatics, which is a recent discipline focusing on addressing the need to analyze and interpret vast amounts of genomic data.. In the past few decades, leaps in genomic research have led to massive amounts of biological data.
Reactome: navigable map of human biological pathways, ranging from metabolic processes to hormonal signalling (Ontario Institute for Cancer Research, European Bioinformatics Institute, NYU Langone Medical Center, Cold Spring Harbor Laboratory) SABIO-RK: database for biochemical reactions and their kinetic properties; WikiPathways
It is used for alert (conscious) people, but often much of this information can also be obtained from the family or friend of an unresponsive person. In the case of severe trauma, this portion of the assessment is less important. A derivative of SAMPLE history is AMPLE history which places a greater emphasis on a person's medical history. [2]
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.
BioSamples (BioSD) is a database at European Bioinformatics Institute for the information about the biological samples used in sequencing. [1]It stores submitter-supplied metadata about the biological materials from which data stored in the National Center for Biotechnology Information’s (NCBI) primary data archives are derived.
Health data are classified as either structured or unstructured. Structured health data is standardized and easily transferable between health information systems. [4] For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format.
The portal for medical data models is a German [1] and European [2] medical research infrastructure. It is an open-access metadata-repository initiated for scientific purposes that can generate, analyse, release and reuse medical forms.
Data collection methods must be considered in research planning, because it highly influences the sample size and experimental design. Data collection varies according to type of data. For qualitative data , collection can be done with structured questionnaires or by observation, considering presence or intensity of disease, using score ...