AIMC Topic: Medical Informatics

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From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: Conduct a survey of the literature for advancements in cancer informatics over the last three years in three specific areas where there has been unprecedented growth: 1) digital health; 2) machine learning; and 3) precision oncology. We a...
Patient Participation Humans Machine Learning Precision Medicine Neoplasms Medical Oncology Medical Informatics
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Medical Information Extraction in the Age of Deep Learning.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: We survey recent developments in medical Information Extraction (IE) as reported in the literature from the past three years. Our focus is on the fundamental methodological paradigm shift from standard Machine Learning (ML) techniques to ...
Deep Learning Natural Language Processing Pharmaceutical Preparations Humans Neural Networks, Computer Medical Informatics Disease Drug Interactions Datasets as Topic Information Storage and Retrieval
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Review of Clinical Research Informatics.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: Clinical Research Informatics (CRI) declares its scope in its name, but its content, both in terms of the clinical research it supports-and sometimes initiates-and the methods it has developed over time, reach much further than the name s...
Medical Informatics Computer Security Big Data Privacy Artificial Intelligence Data Accuracy Electronic Health Records Biomedical Research Humans
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Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation.

Yearbook of medical informatics Aug 21, 2020
INTRODUCTION: There has been a rapid development of deep learning (DL) models for medical imaging. However, DL requires a large labeled dataset for training the models. Getting large-scale labeled data remains a challenge, and multi-center datasets s...
Machine Learning Humans Deep Learning Diagnostic Imaging Medical Informatics
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The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy.

PloS one Aug 21, 2020
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and...
Robotics Medical Informatics Female Humans Evidence-Based Medicine Male Databases, Factual Behavior Child Autism Spectrum Disorder
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A system for automatically extracting clinical events with temporal information.

BMC medical informatics and decision making Aug 20, 2020
BACKGROUND: The popularization of health and medical informatics yields huge amounts of data. Extracting clinical events on a temporal course is the foundation of enabling advanced applications and research. It is a structure of presenting informatio...
Databases, Genetic Medical Informatics Semantics Humans Neural Networks, Computer
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Graph Neural Network-Based Diagnosis Prediction.

Big data Aug 12, 2020
Diagnosis prediction is an important predictive task in health care that aims to predict the patient future diagnosis based on their historical medical records. A crucial requirement for this task is to effectively model the high-dimensional, noisy, ...
Diagnosis, Computer-Assisted Deep Learning Medical Informatics Computer Graphics Neural Networks, Computer Algorithms Electronic Health Records
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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Humans Smoking False Positive Reactions Tobacco Use Disorder Medical Informatics Sweden Automation ROC Curve Pattern Recognition, Automated Support Vector Machine Data Mining Observer Variation Natural Language Processing Bayes Theorem Research Design Electronic Health Records Reproducibility of Results Machine Learning Software Algorithms
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Agents and robots for collaborating and supporting physicians in healthcare scenarios.

Journal of biomedical informatics Jun 27, 2020
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems' features to include the ability to serv...
Risk Humans Nursing Homes Emergency Medicine Geriatrics Aged Infectious Disease Medicine Computer Systems Pneumonia, Viral Artificial Intelligence Pandemics Coronavirus Infections COVID-19 Telemedicine Medical Informatics Models, Theoretical Monitoring, Physiologic Robotics
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Supervised mixture of experts models for population health.

Methods (San Diego, Calif.) May 21, 2020
We propose a machine learning driven approach to derive insights from observational healthcare data to improve public health outcomes. Our goal is to simultaneously identify patient subpopulations with differing health risks and to find those risk fa...
Population Health Normal Distribution Supervised Machine Learning Information Storage and Retrieval Medical Informatics Humans Electronic Health Records
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