AIMC Topic: Data Mining

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Advanced Data Analytics for Clinical Research Part I: What are the Tools?

Innovations (Philadelphia, Pa.) Feb 28, 2020
The concept of Big Data is changing the way that clinical research can be performed. Cardiothoracic surgeons need to understand the dynamic digital transformation taking place in the healthcare industry. In the last decade, technological advances and...
Data Mining Digital Technology Internet of Things Health Care Sector Thoracic Surgical Procedures Clinical Protocols Big Data Data Science Natural Language Processing Humans Surgeons
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Humans Machine Learning Data Mining Data Collection Genetic Heterogeneity Incidence Genetic Predisposition to Disease Urinary Bladder Neoplasms Utah Pedigree Neoplastic Syndromes, Hereditary Risk Factors Aged Young Adult Aged, 80 and over Adult Middle Aged Male Databases, Factual Risk Assessment Adolescent Female
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Healthcare pathway discovery and probabilistic machine learning.

International journal of medical informatics Feb 24, 2020
BACKGROUND AND PURPOSE: Healthcare pathways define the execution sequence of clinical activities as patients move through a treatment process, and they are critical for maintaining quality of care. The aim of this study is to combine healthcare pathw...
Humans Electronic Health Records Machine Learning Hospitals Delivery of Health Care Models, Statistical Data Mining
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Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope.

Asian journal of psychiatry Feb 24, 2020
Outcome Assessment, Health Care Asia Bibliometrics Mental Disorders Data Mining Humans Psychiatry Machine Learning Biomedical Research
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Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.

Computational biology and chemistry Feb 15, 2020
Preterm birth, defined as a delivery before 37 weeks' gestation, continues to affect 8-15% of all pregnancies and is associated with significant neonatal morbidity and mortality. Effective prediction of timing of delivery among women identified to be...
Pregnancy Female Premature Birth Humans Neural Networks, Computer Cerclage, Cervical Decision Making Models, Statistical Data Mining
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Attention guided capsule networks for chemical-protein interaction extraction.

Journal of biomedical informatics Feb 15, 2020
The biomedical literature contains a sufficient number of chemical-protein interactions (CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has excellent benefits for precision medicine, drug discovery and basic biom...
Research Design Publications Data Mining Attention Neural Networks, Computer
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Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study.

Audiology & neuro-otology Feb 14, 2020
INTRODUCTION: Subjective tinnitus (ST) and hyperacusis (HA) are common auditory symptoms that may become incapacitating in a subgroup of patients who thereby seek medical advice. Both conditions can result from many different mechanisms, and as a con...
Internet Quality of Life Statistics as Topic Data Mining Unsupervised Machine Learning Hyperacusis Humans Tinnitus Natural Language Processing Machine Learning
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State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System.

Journal of the American Heart Association Feb 13, 2020
Humans Machine Learning Quality Improvement Quality Indicators, Health Care Therapy, Computer-Assisted Precision Medicine Outcome and Process Assessment, Health Care Treatment Outcome Cardiovascular Diseases Data Mining Diagnosis, Computer-Assisted Heart Disease Risk Factors
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DTranNER: biomedical named entity recognition with deep learning-based label-label transition model.

BMC bioinformatics Feb 11, 2020
BACKGROUND: Biomedical named-entity recognition (BioNER) is widely modeled with conditional random fields (CRF) by regarding it as a sequence labeling problem. The CRF-based methods yield structured outputs of labels by imposing connectivity between ...
Software Deep Learning Data Mining
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Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks.

BMC bioinformatics Feb 6, 2020
BACKGROUND: Biomedical event extraction is a fundamental and in-demand technology that has attracted substantial interest from many researchers. Previous works have heavily relied on manual designed features and external NLP packages in which the fea...
Neural Networks, Computer Data Mining
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