Why MEDgle?
MEDgle is an online information and educational service. With the thousands of articles and sites available, finding relevant medical information is difficult. MEDgle's goal is to make medical information easily and intuitively accessible for the benefit and betterment of everybody. Simply: search, learn, and thrive.
What is MEDgle?
MEDgle is a MEDical GLobal Electronic computer generated search. MEDgle indicates the possibilities that exist for any given combination of symptoms. It is not a diagnostic or decision making tool.
What is NOT in MEDgle?
MEDgle is a search for general medical conditions. It specifically excludes all conditions that occur below one year of age.
Why "Beta"?
As we are currently in "Beta", we are still testing, updating, and refining our services and features. We look forward to your feedback in helping us improve.
MEDgle Corporation
MEDgle is self-funded corporation in the San Francisco Bay Area, California, US.
MEDgle Team
- Ash Damle
- Dr. Pradeep Damle, MD Board Certified in Pulmonology
- Dr. Sheela Kapre, MD Board Certified in Critical Care Medicine
- Dr. Sudeb Dalai
- Robert Carter Dunn
- (Advisor) Dr. Ahmed Ghouri, CMO of Anvita Health (formerly SafeMed)
- (Advisor) Dr. Amol Deshpande
Advertising
Advertisement is a financial resource of MEDgle. Advertisment is clearly displayed as such.
Please note: Ads do not influence our content in any way.
Where did the data come from?
MEDgle's data and the rough probability estimates were contributed by physicians working with MEDgle, using medical knowledge learned in medical school and residency as well as publicly available information available such as the Center for Disease Control - CDC and National Institutes of Health - NIH. Where probability estimates were not available, physicians used their practice experience to fill in the gaps.
How are results ranked?
MEDgle is based on information engine which provides the basis for expert systems. The expert system has been seeded with information regarding age, duration, symptoms, and diagnoses as well as risk factors for specific diseases. Probabilities are calculated based on given search criteria. The potential results are then ranked according to aggregate probability scores.
What do the blue bars mean?
The bars are displayed to give users a visual cue regarding the commonality of occurrences of results for a given set of symptoms based on probability estimates. The user can thus get an understanding of the relative differences in "commoness" between the symptoms search results.
How is common, uncommon and rare defined?
Common was defined if a disease prevalence was more than 1:1000 in the general U.S. population. Uncommon was disease prevalence between 1:1000 and 1:100,000 in the general U.S. population. Rare was when a disease occurred less frequently than 1: 100,000 in the general U.S. population. Whenever possible the prevalence/occurrence was determined by literature review. In the absence of such data prevalence was estimated from physicians' daily practice experience.
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