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Identifying an appropriate set of predictors for the outcome of interest is a major challenge in clinical prediction research. The aim of this study is to show the application of some variable selection methods, usually used in data-mining, for an epidemiological study. We introduce here a systematic approach.
This article was published in the following journal.
Name: Journal of clinical epidemiology
Feature selection is commonly used as a preprocessing step to machine learning for improving learning performance, lowering computational complexity and facilitating model interpretation. This paper p...
Acute Kidney Injury (AKI) is a common complication encountered among hospitalized patients, imposing significantly increased cost, morbidity, and mortality. Early prediction of AKI has profound clinic...
Causal feature selection has attracted much attention in recent years, as the causal features selected imply the causal mechanism related to the class attribute, leading to more reliable prediction mo...
The use of quick attenuated total reflectance infrared (ATR-IR) spectroscopy and near infrared (NIR) spectroscopy to predict extractives content (EC) in heartwood of E. bosistoana with partial least s...
Quantitative structure-activity/property relationships (QSAR/QSPR) are statistical models which quantitatively correlate quantitative chemical structure information (described as molecular descriptors...
Stool samples will be collected from two groups of neutropenic patients in the case that a therapy with either meropenem or piperacillin/tazobactam is needed due to a suspected infection. ...
The project team has an online information system developed in a participatory process involving urologists and former patients ("tutorial") for patients with localized prostate cancer. In...
A questionnaire based study to investigate the effectiveness of an Augmented Reality App in the selection of teeth for dentures. Patients dentists and dental technicians are asked to asses...
This study mapped the time course of forgetting among resident physicians after they use an online learning exercise covering principles of diabetes care. Participants took a pre-test fol...
Computer-aided diagnostic software has been used to assist physicians in various ways. Text-based prediction algorithms have been trained on past medical records through data mining and fe...
Adverse of favorable selection bias exhibited by insurers or enrollees resulting in disproportionate enrollment of certain groups of people.
The selection or choice of sexual partner in animals. Often this reproductive preference is based on traits in the potential mate, such as coloration, size, or behavioral boldness. If the chosen ones are genetically different from the rejected ones, then NATURAL SELECTION is occurring.
The introduction of error due to systematic differences in the characteristics between those selected and those not selected for a given study. In sampling bias, error is the result of failure to ensure that all members of the reference population have a known chance of selection in the sample.
The techniques used to produce molecules exhibiting properties that conform to the demands of the experimenter. These techniques combine methods of generating structural changes with methods of selection. They are also used to examine proposed mechanisms of evolution under in vitro selection conditions.
Development of a library collection, including the determination and coordination of selection policy, assessment of needs of users and potential users, collection use studies, collection evaluation, identification of collection needs, selection of materials, planning for resource sharing, collection maintenance and weeding, and budgeting.