From: A review of data mining using big data in health informatics
Sections | Data level(s) used | Subsections | Question level(s) answered | Questions to be answered |
---|---|---|---|---|
Using Micro Level Data – Molecules | Molecular | Using Gene Expression Data to Make Clinical Predictions | Clinical | What sub-type of cancer does a patient have? [6] |
 |  |  |  | Will a patient have a relapse of cancer? [7] |
Using Tissue Level Data | Tissue | Creating a Connectivity Map of the Brain Using Brain Images | Human-Scale Biology | |
 | Patient | Using MRI Data for Clinical Prediction | Clinical | Do particular areas of the brain correlate to clinical events? [10] |
 |  |  |  | What level of Alzheimer’s disease does a patient have? [11] |
Using Patient Level Data | Patient | Prediction of ICU Readmission and Mortality Rate | Clinical | Should a patient be released from the ICU, or would they benefit from a longer stay? [12–14] |
 |  |  |  | What is the 5 year expectancy of a patient over the age of 50? [15] |
 |  | Real-Time Predictions Using Data Streams | Clinical | What ailment does a patient have (real-time prediction) [16, 17] |
 |  |  |  | Is an infant experiencing a cardiorespiratory spell (real-time)? [18] |
Using Population Level Data – Social Media | Population | Using Message Board Data to Help Patients Obtain Medical Information | Clinical | Can message post data be used for dispersing clinically reliable information? [19, 20] |
 |  | Tracking Epidemics Using Search Query Data | Epidemic-Scale | Can search query data be used to accurately track epidemics throughout a population? [5, 21] |
 |  | Tracking Epidemics Using Twitter Post Data | Epidemic-Scale | Can Twitter post data be used to accurately track epidemics throughout a population? [22, 23] |