AIMC Topic: Data Collection

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Right population, right resources, right algorithm: Using machine learning efficiently and effectively in surgical systems where data are a limited resource.

Surgery Jan 5, 2021
There is a growing interest in using machine learning algorithms to support surgical care, diagnostics, and public health surveillance in low- and middle-income countries. From our own experience and the literature, we share several lessons for devel...
Humans Machine Learning Algorithms Developing Countries Data Collection Surgical Procedures, Operative Clinical Decision Rules Decision Support Techniques Delivery of Health Care Clinical Decision-Making
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Comparison of Use of Health Care Services and Spending for Unauthorized Immigrants vs Authorized Immigrants or US Citizens Using a Machine Learning Model.

JAMA network open Dec 1, 2020
IMPORTANCE: Knowledge about use of health care services (health care utilization) and expenditures among unauthorized immigrant populations is uncertain because of limitations in ascertaining legal status in population data.
Population Groups Minority Health Undocumented Immigrants Middle Aged Female Emigrants and Immigrants Health Expenditures Humans Family Characteristics Cross-Sectional Studies Patient Acceptance of Health Care Machine Learning Data Collection Los Angeles Male Databases, Factual
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Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach.

Journal of medical Internet research Nov 25, 2020
BACKGROUND: It is important to measure the public response to the COVID-19 pandemic. Twitter is an important data source for infodemiology studies involving public response monitoring.
SARS-CoV-2 Emotions Social Media Data Collection Humans Machine Learning COVID-19
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Methodological considerations in MVC epidemiological research.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Nov 16, 2020
BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, ...
Child Accidents, Traffic Data Collection Research Design Risk Factors Adolescent Humans Artificial Intelligence
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Deep convolutional neural network based on adaptive gradient optimizer for fault detection in SCIM.

ISA transactions Oct 23, 2020
Early fault detection in squirrel cage induction motor (SCIM) can minimize the downtime and maximize production. This paper presents an adaptive gradient optimizer based deep convolutional neural network (ADG-dCNN) technique for bearing and rotor fau...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Data Collection
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Topaz-Denoise: general deep denoising models for cryoEM and cryoET.

Nature communications Oct 15, 2020
Cryo-electron microscopy (cryoEM) is becoming the preferred method for resolving protein structures. Low signal-to-noise ratio (SNR) in cryoEM images reduces the confidence and throughput of structure determination during several steps of data proces...
Cryoelectron Microscopy Resin Cements Particle Size Machine Learning Data Collection Cadherins Signal-To-Noise Ratio
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Unsupervised learning for large-scale corneal topography clustering.

Scientific reports Oct 12, 2020
Machine learning algorithms have recently shown their precision and potential in many different use cases and fields of medicine. Most of the algorithms used are supervised and need a large quantity of labeled data to achieve high accuracy. Also, mos...
Unsupervised Machine Learning Keratoconus Corneal Topography Information Storage and Retrieval Corneal Diseases Data Collection Datasets as Topic Algorithms Databases, Factual Cluster Analysis Humans
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Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data.

Journal of medical Internet research Oct 2, 2020
BACKGROUND: In December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Lack of a vaccine or optimized intervention raised the importance of characterizing risk factors and symptoms for the early identification and s...
Oxygen Inhalation Therapy Myalgia Betacoronavirus Data Collection Pneumonia, Viral Risk Factors Dyspnea Disease Outbreaks Fatigue Diarrhea Fever Cough Headache COVID-19 Publications Coronavirus Infections Antiviral Agents Humans Retrospective Studies Social Media Machine Learning SARS-CoV-2 Pandemics
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Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.

Journal of clinical epidemiology Sep 30, 2020
OBJECTIVES: To assess the feasibility of a modified workflow that uses machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review.
Crowdsourcing Humans Machine Learning Systematic Reviews as Topic Algorithms Data Collection Research Design Data Accuracy Biomedical Research Randomized Controlled Trials as Topic
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Tianxia120: A Multimodal Medical Data Collection Bioinformatic System for Proactive Health Management in Internet of Medical Things.

Journal of healthcare engineering Sep 26, 2020
A digital medical health system named Tianxia120 that can provide patients and hospitals with "one-step service" is proposed in this paper. Evolving from the techniques of Internet of Medical Things (IoMT), medical dig data, and medical Artificial In...
Humans Computational Biology Internet Artificial Intelligence Data Collection Delivery of Health Care
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