AIMC Topic: Machine Learning

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Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
Medical information extraction is the automatic extraction of structured information from electronic medical records, where such information can be used for improving healthcare processes and medical decision making. In this paper, we study one impor...
Vocabulary, Controlled Natural Language Processing Models, Organizational Data Mining Pattern Recognition, Automated Machine Learning Electronic Health Records United States
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Fast, Continuous Audiogram Estimation Using Machine Learning.

Ear and hearing Jan 1, 2015
OBJECTIVES: Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds with pure tones by systematically manipulating intensity one frequency at a time until a disc...
Adolescent Aged Adult Humans Audiometry, Pure-Tone Bayes Theorem Male Aged, 80 and over Machine Learning Hearing Loss Young Adult Middle Aged Female Reproducibility of Results
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Automated Classification of Clinical Incident Types.

Studies in health technology and informatics Jan 1, 2015
We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the sta...
Medical Errors Machine Learning New South Wales Bayes Theorem Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Hospital Information Systems Risk Management
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Automatic Detection of Skin and Subcutaneous Tissue Infections from Primary Care Electronic Medical Records.

Studies in health technology and informatics Jan 1, 2015
INTRODUCTION: Skin and subcutaneous tissue infections (SSTI) are common conditions that cause avoidable hospitalisation in New Zealand. As part of a program to improve the management of SSTI in primary care, electronic medical records (EMR) of four A...
Subcutaneous Tissue Skin Diseases, Bacterial New Zealand Data Mining Vocabulary, Controlled Humans Sensitivity and Specificity Diagnosis, Computer-Assisted Primary Health Care Natural Language Processing Machine Learning Electronic Health Records Reproducibility of Results
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Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.

Studies in health technology and informatics Jan 1, 2015
Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence provide improved quality of care at a reduced cost to the community, therefore reducing the burden on the healthcare system. Activity recognition of ...
Machine Learning Reproducibility of Results Self Care Sensitivity and Specificity Exercise Smartphone Transducers Humans Mobile Applications Australia Telemedicine Pattern Recognition, Automated Actigraphy Home Care Services
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Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in CPP-based research, demonstrating the potential of CPPs as therapeutic candidates. In the past, man...
Cell-Penetrating Peptides Molecular Sequence Data Amino Acid Motifs Drug Carriers Proteins Amino Acid Sequence Humans Machine Learning Computer-Aided Design Support Vector Machine Computer Simulation Animals
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Proactive Support of Internet Browsing when Searching for Relevant Health Information.

Studies in health technology and informatics Jan 1, 2015
Many people use the Internet as one of the primary sources of health information. This is due to the high volume and easy access of freely available information regarding diseases, diagnoses and treatments. However, users may find it difficult to ret...
Web Browser Humans Machine Learning User-Computer Interface Internet Information Storage and Retrieval Consumer Health Information
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A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead Molecules.

Combinatorial chemistry & high throughput screening Jan 1, 2015
The ligand-based virtual screening of combinatorial libraries employs a number of statistical modeling and machine learning methods. A comprehensive analysis of the application of these methods for the diversity oriented virtual screening of biologic...
Drug Delivery Systems Drug Design Hypoglycemic Agents Machine Learning Anti-Bacterial Agents Anticonvulsants Arrhythmias, Cardiac Antidepressive Agents
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Semi-automated evaluation of biomedical ontologies for the biobanking domain based on competency questions.

Studies in health technology and informatics Jan 1, 2015
BACKGROUND: Biosample collections and biobank information systems have become a key enabler for medical research. Therefore it is important to identify potentially relevant ontologies to semantically enrich information related to the biobanking domai...
Machine Learning Natural Language Processing Biological Specimen Banks Biological Ontologies Austria Terminology as Topic Meaningful Use
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Semantic retrieval and navigation in clinical document collections.

Studies in health technology and informatics Jan 1, 2015
Patients with chronic diseases undergo numerous in- and outpatient treatment periods, and therefore many documents accumulate in their electronic records. We report on an on-going project focussing on the semantic enrichment of medical texts, in orde...
User-Computer Interface Natural Language Processing Data Mining Web Browser Semantics Vocabulary, Controlled Machine Learning Software Electronic Health Records
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