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An electrophysiologic technique for studying cells, cell membranes, and occasionally isolated organelles. All patch-clamp methods rely on a very high…

Health-related data created, recorded, or gathered by patients, family members, or caregivers, to help address a health concern. Distinct from data g…

A self-administered version of the Primary Care Evaluation of Mental Disorders (PRIME-MD), a diagnostic tool containing modules on multiple mental he…

Criteria and standards used for the determination of the appropriateness of the inclusion of patients with specific conditions in proposed treatment …

The development and application of computational models of human pathophysiology that are individualized to patient-specific data.

Analysis of PEPTIDES that are generated from the digestion or fragmentation of a protein or mixture of PROTEINS, by ELECTROPHORESIS; CHROMATOGRAPHY; …

Treatment process involving the injection of fluid into an organ or tissue.

Mapping of the linear order of genes on a chromosome with units indicating their distances by using methods other than genetic recombination. These m…

Small-scale tests of methods and procedures to be used on a larger scale if the pilot study demonstrates that these methods and procedures can work.

The process of embryo initiation in culture from vegetative, non-gametic, sporophytic, or somatic plant cells.

A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of …

Tabular numerical representations of sequence motifs displaying their variability as likelihood values for each possible residue at each position in …

Method of using a polycrystalline powder and Rietveld refinement (LEAST SQUARES ANALYSIS) of X-RAY DIFFRACTION or NEUTRON DIFFRACTION. It circumvents…

Works about clinical studies designed to evaluate the effectiveness of interventions in real-world health system practice.

A class of algorithms which are designed to forecast unseen data. Prediction Algorithms can discover patterns, perform classification tasks, and iden…

Methods of making prediction about a new measurement based on calculations of previous data.

Machine learning models which are trained to analyze historical data to find patterns and trends, allowing it to predict future outcomes.

First-released version of study results in a series of data collection efforts used for the purpose of generating further interest in and or funding …

Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal com…

A scenario in decision analysis in which two individuals motivated entirely by self-preservation at the expense of the other, end up in a worse state…

The study of chance processes or the relative frequency characterizing a chance process.

Extent of use of procedures or techniques. It includes overuse and underuse.

Studies designed to assess the efficacy of programs. They may include the evaluation of cost-effectiveness, the extent to which objectives are met, o…

Conditional probability of exposure to a treatment given observed covariates.

Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplic…

Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent …

Procedures by which protein structure and function are changed or created in vitro by altering existing or synthesizing new structural genes that dir…

A method for determining points of contact between interacting proteins or binding sites of proteins to nucleic acids. Protein footprinting utilizes …

Methods for determining interaction between PROTEINS.

Methods used in the diagnosis and treatment of behavioral, personality, and mental disorders.