Usage Tips for Athena Health App

Brief Words about Athena and her Capabilities:

Athena - the dedicated TargetWoman Condensed Health Section - as she remains now boasts of over 25,000 pages - of well researched content related to health topics. Athena covers diseases and ailments in general along with their symptoms. Most of the time, Athena will also give some idea about the diagnostic procedures, tests to diagnose your health condition and the line of treatment available with even some suggestions on probable drugs.

We have taken extensive care in compiling a vast body of health information - accurate and current at the time of publication (You may want to read the disclaimer at the end of the page). We have used our own proprietary technology - a type of AI (Artificial Intelligence) to serve you information that is brief, precise and relevant - in short a cut above the general search engines. We named our Condensed Health Information tool after the Greek Goddess of Wisdom - Athena, precisely for the reasons listed above.

TargetWoman Health App is designed from the ground up to be user friendly. Any page you are in - has a search box, some times more than one search box - for a reason. There are many ways to use this compendium of health/medical topics. You can use the search box with auto suggestion here. It will try to guess what topic you are interested. Just type what topic you want to know - be it the name of the disease, medical condition, diagnostic test or treatment options. The App uses Artificial Intelligence to figure out what type of information you are after and show you the content you actually want. Once you start typing the word, it offers a predictive text - some form of auto-suggestion based on what people usually search. To make a meaningful suggestion, it requires at least 2 characters to start. This auto-suggestion list of words uses Artificial Intelligence algorithm to narrow down the possible words in English. The second method is if you know the word or phrase, try the alphabetical listing provided here.

So if you seek to know about Breast Cancer then type that phrase into the search box, whereupon, Athena sets out to dig through its database for information on this topic. It looks at the probable occurrence of the phrase and also its ramifications, its nuances and its logical extension amongst others. It collects data on each of these and collates them together into a page. In other words, Athena looks for logical extension of the supplied phrase and tries its best to show you relevant information. If you use language precisely as a surgeon uses his scalpel, it can deliver precise information.

On the other hand, for most of us, we are not sure of the medical terms. We may type in the symptoms or the name of the test we need to undergo or the drug we have been prescribed. It is very complicated and a simple search will yield nothing . This is where our Natural Language Processing steps in. This Artificial Intelligence tool will work out what you really want from the bare minimum of words.

We started working on the concept of Natural Language Progression way back in the year 2004 - long before the term Artificial Intelligence became a buzz word. We worked on the premise that to convey an idea or a thought - words are only a transport layer. It is not the word per se that conveys the idea/thought but the collection of words, their proximity to each other and the context. We have created a working model which can understand the subtlety of the language we speak - at least limited in context to health and medical topics. To put it simply, true meaning of a word can only be found when you know the context. Sample this:

Our Natural Language Processing Engine when triggered by the ubiquitous word 'sex' comes up with the following words - pregnant with meaning (pun intended) :

• male
  
• males
  
• female
  
• females
  
• gonadotropin
  
• lh
  
• menopause
  
• testes
  
• development
  
• hormones
  
• reproductive
  
• puberty
  
• progesterone
  
• estrogen
  
• cyclical
  

In practical terms, it is often intuitive. Another example: Breast Cancer:

Athena looks at the keyed in phrase - Breast Cancer - ( Athena is not case sensitive) and decides that you are looking for the following:

1. Risk Factors associated with Breast Cancer

2. Breast cancer Symptoms

3. Mammography or other tests

4. Treatment for Breast cancer in brief

5. Mastectomy

You may see slightly different content based on any content added as we keep updating our content on a regular basis. After all, Athena - Simplified Health App has been serving content for the last 15 years from the time we started.