AIMC Topic: Cell Phone

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The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

Journal of medical systems Jul 13, 2019
According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degree and high degree malignancy. For high degree malignant skin tumors, if not detected in time, they can do serious harm to patients' health. However, ...
Humans Neural Networks, Computer Databases, Factual Area Under Curve Melanoma, Cutaneous Malignant Patient Participation Cell Phone Melanoma Skin Neoplasms Deep Learning
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A hierarchical machine learning classification approach for secondary task identification from observed driving behavior data.

Accident; analysis and prevention Dec 13, 2018
According to NHTSA, more than 3477 people (including 551 non-occupants) were killed and 391,000 were injured due to distraction-related crashes in 2015. The distracted driving epidemic has long been under research to identify its impact on driving be...
Distracted Driving Text Messaging Cell Phone Behavior Observation Techniques Humans Deep Learning Adult Female Accidents, Traffic Male
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Feasibility and Acceptability of Mobile Phone-Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults.

Journal of medical Internet research Oct 26, 2018
BACKGROUND: Chronic pain is a globally prevalent condition. It is closely linked with psychological well-being, and it is often concomitant with anxiety, negative affect, and in some cases even depressive disorders. In the case of musculoskeletal chr...
Humans Machine Learning Female Cell Phone Pilot Projects Adult Feasibility Studies Male Chronic Pain Exercise
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A New Remote Health-Care System Based on Moving Robot Intended for the Elderly at Home.

Journal of healthcare engineering Feb 7, 2018
Nowadays, due to the growing need for remote care and the constantly increasing popularity of mobile devices, a large amount of mobile applications for remote care support has been developed. Although mobile phones are very suitable for young people,...
Robotics Equipment Design Telemedicine Video Recording Aged Monitoring, Physiologic Posture Cell Phone Family Home Care Services Computer Communication Networks Algorithms Geriatrics Humans
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Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.

Addictive behaviors Nov 27, 2017
BACKGROUND: Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical.
Monitoring, Ambulatory Alcoholism Cell Phone Ecological Momentary Assessment Surveys and Questionnaires Prospective Studies Young Adult Biosensing Techniques Female Adult Supervised Machine Learning Male Humans
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Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting.

Journal of medical Internet research May 25, 2017
BACKGROUND: Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals...
Activities of Daily Living Female Monitoring, Ambulatory Humans Male Home Care Services Machine Learning Middle Aged Cell Phone Stroke
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Deep Learning for Plant Identification in Natural Environment.

Computational intelligence and neuroscience May 22, 2017
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental pla...
Cell Phone Machine Learning China Universities Classification Environment Plants Photography Forestry Datasets as Topic
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Dermatologist-level classification of skin cancer with deep neural networks.

Nature Jan 25, 2017
Skin cancer, the most common human malignancy, is primarily diagnosed visually, beginning with an initial clinical screening and followed potentially by dermoscopic analysis, a biopsy and histopathological examination. Automated classification of ski...
Dermatologists Keratinocytes Datasets as Topic Cell Phone Nevus Automation Photography Keratosis, Seborrheic Melanoma Humans Skin Neoplasms Neural Networks, Computer Reproducibility of Results
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Ubiquitous Multicriteria Clinic Recommendation System.

Journal of medical systems Mar 17, 2016
Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferen...
Cell Phone Humans Appointments and Schedules Time Factors Ambulatory Care Facilities Taiwan Health Services Accessibility Waiting Lists Patient Preference Fuzzy Logic
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Prediction of telephone calls load using Echo State Network with exogenous variables.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2015
We approach the problem of forecasting the load of incoming calls in a cell of a mobile network using Echo State Networks. With respect to previous approaches to the problem, we consider the inclusion of additional telephone records regarding the act...
Cell Phone Forecasting Neural Networks, Computer Models, Theoretical Machine Learning Computer Communication Networks Algorithms
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