منابع مشابه
Machine Learning for Structured Clinical Data
Research is a tertiary priority in the EHR, where the priorities are patient care and billing. Because of this, the data is not standardized or formatted in a manner easily adapted to machine learning approaches. Data may be missing for a large variety of reasons ranging from individual input styles to differences in clinical decision making, for example, which lab tests to issue. Few patients ...
متن کاملPrototype based Machine Learning for Clinical Proteomics
Clinical proteomics opens the way towards new insights into many diseases on a level of detail not available before. One of the most promising measurement techniques supporting this approach is mass spectrometry based clinical proteomics. The analysis of the high dimensional data obtained from mass spectrometry asks for sophisticated, problem adequate preprocessing and data analysis approaches....
متن کاملPrototype based machine learning for clinical proteomics
Clinical proteomics opens the way towards new insights into many diseases on a level of detail not available before. One of the most promising measurement techniques supporting this approach is mass spectrometry based clinical proteomics. The analysis of the high dimensional data obtained from mass spectrometry asks for sophisticated, problem adequate preprocessing and data analysis approaches....
متن کاملSiena's Clinical Decision Assistant with Machine Learning
This paper discusses Siena’s Clinical Decision Assistant’s (SCDA) system and its participation in the Text Retrieval Conference (TREC) Clinical Decision Support Track (CDST) of 2016. The overall goal of this track is to link medical cases to information that is pertinent to patient care. Participants were given a set of thirty topics in the form of medical case narratives and a snapshot of 1.25...
متن کاملMachine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2005
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2005.05.009