AIMC Topic: Medical Informatics

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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for...
Neoplasm Staging Neoplasm Metastasis Male International Classification of Diseases Cohort Studies Medical Informatics Proof of Concept Study Information Storage and Retrieval Prostatic Neoplasms Humans California Machine Learning Electronic Health Records
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Advancing the beneficial use of machine learning in health care and medicine: Toward a community understanding.

PLoS medicine Nov 30, 2018
Reproducibility of Results Health Knowledge, Attitudes, Practice Medical Informatics Health Literacy Attitude to Computers Comprehension Public Opinion Humans Machine Learning Community Health Services
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Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.

IEEE journal of biomedical and health informatics Nov 28, 2018
Drug-side effect association contains the information on marketed medicines and their recorded adverse drug reactions. Traditional experimental method is time consuming and expensive. All associations of drugs and side-effects are seen as a bipartite...
Humans Medical Informatics Algorithms Area Under Curve Models, Statistical Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions
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Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

IEEE journal of biomedical and health informatics Nov 20, 2018
Acute coronary syndrome (ACS), as an emergent and severe syndrome due to decreased blood flow in the coronary arteries, is a leading cause of death and serious long-term disability globally. ACS is usually caused by one of three problems: ST elevatio...
Deep Learning Models, Statistical Heart Failure Aged Humans Middle Aged Acute Coronary Syndrome Diagnosis, Computer-Assisted Electronic Health Records Medical Informatics
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Machine learning in critical care: state-of-the-art and a sepsis case study.

Biomedical engineering online Nov 20, 2018
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the dauntin...
Reproducibility of Results Sepsis Probability Medical Informatics Computer Graphics Critical Care Expert Systems Prospective Studies Prognosis Intensive Care Units Machine Learning Software Data Analysis Humans Artificial Intelligence
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Exploring Active Learning Based on Representativeness and Uncertainty for Biomedical Data Classification.

IEEE journal of biomedical and health informatics Nov 13, 2018
Nowadays, there is an abundance of biomedical data, such as images and genetic sequences, among others. However, there is a lack of annotation to such volume of data, due to the high costs involved to perform this task. Thus, it is mandatory to devel...
Humans Machine Learning Algorithms Medical Informatics Knowledge Discovery Databases, Factual Neoplasms Diagnosis, Computer-Assisted
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An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

Journal of biomedical informatics Nov 13, 2018
BACKGROUND: Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology...
Fuzzy Logic Social Media Natural Language Processing Algorithms Electronic Health Records Reproducibility of Results Pattern Recognition, Automated Data Mining Data Collection Medical Informatics
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Transforming health policy through machine learning.

PLoS medicine Nov 13, 2018
In their Perspective, Ara Darzi and Hutan Ashrafian give us a tour of the future policymaker's machine learning toolkit.
Policy Making Machine Learning Databases, Factual Humans Electronic Health Records Medical Informatics Health Policy Government Regulation Data Mining
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SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

BMC bioinformatics Nov 6, 2018
BACKGROUND: Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ont...
Gene Expression Profiling Natural Language Processing Health Records, Personal Humans Data Analysis Biological Ontologies Abstracting and Indexing MEDLINE France Information Storage and Retrieval Medical Informatics Semantics
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Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework.

Journal of biomedical informatics Oct 30, 2018
BACKGROUND: One of the significant problems in the field of healthcare is the low survival rate of people who have experienced sudden cardiac arrest. Early prediction of cardiac arrest can provide the time required for intervening and preventing its ...
Research Reproducibility of Results Heart Arrest Decision Making Humans Support Vector Machine Medical Informatics Algorithms Proportional Hazards Models Databases, Factual
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