Trial reportSensors (Basel, Switzerland)2018
An Intelligent System for Monitoring Skin Diseases.
Trial report in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 76 citations in OpenAlex.
- An evaluation of the effectiveness of 'ULTRACOL 200' in enhancing nasolabial fold wrinkles through cutaneous repair.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- The Influence of a Fire at an Illegal Landfill in Southern Poland on the Formation of Toxic Compounds and Their Impact on the Natural Environment.International journal of environmental research and public health · 2022Article
- Deep Learning Application for Effective Classification of Different Types of Psoriasis.Journal of healthcare engineering · 2022Article
- Analysis of Skin Cancer and Patient Healthcare Using Data Mining Techniques.Computational intelligence and neuroscience · 2022Review
- Skin Diseases Classification Using Hybrid AI Based Localization Approach.Computational intelligence and neuroscience · 2022Article
- A Secure Framework toward IoMT-Assisted Data Collection, Modeling, and Classification for Intelligent Dermatology Healthcare Services.Contrast media & molecular imaging · 2022Article
- Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review.Diagnostics (Basel, Switzerland) · 2021Review
- Review
- Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet.PeerJ. Computer science · 2021Article
- The Internet of Things: Impact and Implications for Health Care Delivery.Journal of medical Internet research · 2020Review
- Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis.JAMA dermatology · 2019Article
- A Multi-Agent Gamification System for Managing Smart Homes.Sensors (Basel, Switzerland) · 2019Article
- AD or Non-AD: A Deep Learning Approach to Detect Advertisements from Magazines.Entropy (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development. In this work, we present a smart home system which is using in-built sensors and proposed artificial intelligence methods to diagnose the skin health condition of the residents of the house. The proposed solution has been tested and discussed due to potential use in practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.