AIMC Topic: Data Mining

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Statistical and Machine-Learning Analyses in Nutritional Genomics Studies.

Nutrients Oct 14, 2020
Nutritional compounds may have an influence on different OMICs levels, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics. The integration of OMICs data is challenging but may provide new knowledge to explain...
Data Interpretation, Statistical Eating Data Mining Algorithms Genome-Wide Association Study Cluster Analysis Nutrigenomics Nutritional Physiological Phenomena Nutrition Disorders Humans Machine Learning
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Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease.

Circulation. Cardiovascular interventions Oct 12, 2020
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro...
Humans Electronic Health Records Female Reproducibility of Results Vascular Surgical Procedures Amputation, Surgical Predictive Value of Tests Ankle Brachial Index Natural Language Processing Aged Endovascular Procedures Middle Aged Data Mining Aged, 80 and over Diagnosis, Computer-Assisted Male Peripheral Arterial Disease
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Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.

Aging cell Oct 8, 2020
We previously identified 529 proteins that had been reported by multiple different studies to change their expression level with age in human plasma. In the present study, we measured the q-value and age coefficient of these proteins in a plasma prot...
Young Adult Adult Animals Aging Humans Machine Learning Aged Data Mining Middle Aged Disease Models, Animal Longevity Adolescent Blood Proteins Mice
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An embedded gene selection method using knockoffs optimizing neural network.

BMC bioinformatics Sep 22, 2020
BACKGROUND: Gene selection refers to find a small subset of discriminant genes from the gene expression profiles. How to select genes that affect specific phenotypic traits effectively is an important research work in the field of biology. The neural...
Zea mays Female Data Mining Breast Neoplasms Gene Expression Regulation Transcriptome Computational Biology Humans Neural Networks, Computer
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Data-driven ICU management: Using Big Data and algorithms to improve outcomes.

Journal of critical care Sep 9, 2020
The digitalization of the Intensive Care Unit (ICU) led to an increasing amount of clinical data being collected at the bedside. The term "Big Data" can be used to refer to the analysis of these datasets that collect enormous amount of data of differ...
Intensive Care Units Biomedical Research Big Data Machine Learning Forecasting Retrospective Studies Humans Data Mining
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Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language.

Computational intelligence and neuroscience Sep 7, 2020
As the usage of social media has increased, the size of shared data has instantly surged and this has been an important source of research for environmental issues as it has been with popular topics. Sentiment analysis has been used to determine peop...
Public Opinion Social Media Humans Global Warming Data Mining Machine Learning Turkey Language
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Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.

Archives of cardiovascular diseases Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Prospective Studies Prognosis Female Aged, 80 and over Male Risk Factors Aged Humans Machine Learning Phenotype Lung Diseases, Interstitial Health Status Data Mining Cluster Analysis Middle Aged Heart Diseases Kidney Diseases France Risk Assessment Registries Pulmonary Arterial Hypertension Comorbidity
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Artificial Intelligence and Data Mining to Assess Lung Cancer Risk: Challenges and Opportunities.

Annals of internal medicine Sep 1, 2020
Deep Learning Lung Neoplasms Early Detection of Cancer Data Mining Smokers Humans Artificial Intelligence
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Time-range based sequential mining for survival prediction in prostate cancer.

Journal of biomedical informatics Sep 1, 2020
BACKGROUND AND OBJECTIVE: Metastatic prostate cancer has a higher mortality rate than localized cancers. There is a need to investigate the survival outcome of metastatic prostate cancers separately. Also, the treatments undertaken by the patients af...
Data Mining Algorithms Male Prostatic Neoplasms Humans Machine Learning
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A Year of Papers Using Biomedical Texts.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: Analyze papers published in 2019 within the medical natural language processing (NLP) domain in order to select the best works of the field.
Electronic Health Records Natural Language Processing Information Storage and Retrieval Data Mining
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