Developing Mobile Applications with Web-Based Data A presentation by Harrison Sweeney University of Western Australia 

Developing Mobile Applications with Web-Based Data An Application of Information Extraction A presentation by Harrison Sweeney University of Western Australia 

University of Western Australia Mechatronic Engineering Supervised by Wei Liu Who am I? 

• Develop a semantic database of simplified medical information • Develop proof of concept mobile application for symptom queries • Use modular and flexible methods for re-use with alternative sources of data What is the aim? 

• Scarcity of medical information for general consumption • Difficult to find reliable medical information online • Educational tool contributing to greater community care • Improve general health literacy Why is this needed? 

What does the system look like? Initial Data Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

What does the system look like? MySQL DB Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

Where is the data from? 

1,885 conditions 1,749 drugs 1,049 symptoms What form is the initial data in? 

What form is the initial data in? 1,885 conditions 1,749 drugs 1,049 symptoms 

What form is the initial data in? Property Data Type ID integer Symptom string General Description text Causes csv Related Symptoms csv Symptom Structure 

Demonstration 

What does the system look like? MySQL DB Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

How is the data processed? for  each  primary  symptom: for  each  related  symptom: for  each  symptom: if  symptom  ==  related  symptom: add  relation  to  the  table Simplified Pseudocode • Extraction of symptom relation information • Combination of NLP and fuzzy string matching 

What does the system look like? MySQL DB Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

How is the graph database constructed? Neo4j Graph DB MySQL Tables Related Symptoms Primary Symptoms Python Script 

What does the system look like? MySQL DB Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

What does the graph database look like? related to Abdominal Cancer Abdominal Pain Cancer type of Pain type of 

What does the graph database look like? 

 How do you query the graph database? Neo4j Graph DB Cypher Query  Objective C Python  Java  REST API 

How do you query the graph database? Example Cypher Query START  n=node(*)   MATCH  n-­‐[r]-­‐m   WHERE  n.type  ='symptom' WITH  n,  count(m)  as  degree RETURN  n,  degree,  n.name   ORDER  BY  degree 

Demonstration 

What does the system look like? MySQL DB Graph Construction Visualisation Mobile App Pre-Processing Graph DB 

How does the mobile application work?   Graph DB Mobile Application Cypher Query JSON Response 

Demonstration 

• Taxonomy of ‘symptoms’ • Signs • Symptoms • Conditions • Conflict resolution with ‘conditions’ table • Hierarchical symptom relationships and relationship pruning What problems are there? 

Symptom Taxonomy an objective indication of some medical fact or characteristic that may be detected by a physician during a physical examination or by a clinical scientist by means of an in vivo examination of a patient the subjective experiences, such as fatigue, that patients might report to their examining physician an illness or abnormality in the body that interferes with a person's usual activities or feeling of wellbeing Sign Symptom Condition (Disease) 

Differentiating symptoms and conditions related to Abdominal Cancer Pain 1 nodes 32 nodes 861 nodes 31 nodes related to 

Differentiating symptoms and conditions related to Abdominal Cancer Pain 1 nodes 32 nodes 861 nodes 31 nodes related to Condition Symptom 

Demonstration 

Hierarchical Symptom Trees related to Abdominal Cancer Abdominal Pain Cancer type of Pain type of related to 

Hierarchical Symptom Trees related to Abdominal Cancer Abdominal Pain Cancer type of Pain type of related to 

• Addition of further data sources • Extraction of information from Wikipedia • Addition of body part relations What is the future work? 

Thank you