Find Nail Disease
Find Nail Disease Summary
Find Nail Disease is a mobile iOS app in Health And Fitness by Jorge Gregorio Martin Bello. Released in Aug 2021 (4 years ago). It has 19 ratings with a 2.05★ (poor) average. Based on AppGoblin estimates, it reaches roughly 51 monthly active users . Store metadata: updated Aug 13, 2021.
Store info: Last updated on App Store on Aug 13, 2021 .
2.05★
Ratings: 19
Screenshots
App Description
Did you know your nails can reveal clues to your overall health? A touch of white here,
a rosy tinge there, or some rippling or bumps may be a sign of disease in the body.
Problems in the liver, lungs, and heart can show up in your nails. Learn what secrets
your nails might reveal.
Certain nail changes are specific for various dermatological disorders.
In addition, examination of nails may also provide an insight into more sinister
systemic manifestations in the form of both subtle as well as specific changes.
These findings may present as a defect of various anatomical components of the nail unit;
nail matrix, nail plate and/or nail bed or vasculature.
Since then many more nail findings have been found to be associated with systemic diseases.
Therefore, examination of the nails should be an integral part of a complete dermatological
examination. Clinicians must acquaint themselves with these nail findings as they can provide a
clue in diagnosing certain systemic diseases. Moreover, at times, some nail changes can be a
presenting feature before other signs of a systemic disease become clinically evident. With the
convenience with which all 20 nails can be examined; certainly, they serve as an important
diagnostic tool. Fingernails usually provide more accurate information than toenails, because
clinical signs on toenails are often modified by trauma.
This app has been created for suggestion purposes. Only for guide. To determine the reason
behind a nail abnormality, people should visit a doctor for diagnosis and treatment.
The dataset of images used to create the machine learning model that this app uses has been created from the dataset in:
https://doi.org/10.6084/m9.figshare.5398573.v2
Thanks to the author of dataset Seung Seog Han.
I Dermatology Clinic, Seoul, Korea
Source datasets:
The dataset of images used to create the machine learning model that this app uses has been created from the dataset in: https://figshare.com/articles/Model_Onychomycosis_Training_Datasets_JPG_thumbnails_and_Validation_Datasets_JPG_images_/5398573
Thanks to the author of dataset Seung Seog Han.
MEDICAL ADVICE DISCLAIMER
This application and its usage are not intended to be a substitute for professional medical advice, diagnosis, or treatment. Any results from this application are purely for informative purposes and should not be treated as medical adv