Add MSH presentation for w5

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- [Intro](#intro)
- [Reasons](#reasons)
- [Implementation](#implementation)
- [Research: data driven health accessment](#research-data-driven-health-accessment)
- [Background](#background)
- [Data](#data)
- [Wearables](#wearables)
- [Patient Health Records](#patient-health-records)
- [Structured vs. unstructured](#structured-vs-unstructured)
- [Smart digital health platform](#smart-digital-health-platform)
- [Diagram](#diagram)
- [Use Cases](#use-cases)
- [Conclusion](#conclusion)
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- IoMT: lots of data, lots of money going in
- Healthcare technology: Better quality of life, with less money required
- ![stupid diagram](./assets/5-smart-health-benefit.webp)
## Research: data driven health accessment
### Background
- Role of AI
- Detection of aliment
- Improve decision making
- Help in treatment
- Superior experience
- Tech revolution
- Automated steps in diagnostic process
- Can acquire different types of data, representing the physiology of humans
- Images: MRI, CT
- Wearable devices
- Electronic health records
- Robotics
- ML learn from data, so that it can make decisions like human brain
### Data
#### Wearables
- Versatile monitoring
#### Patient Health Records
- Personal demographics: age, gender, ethnicity, weight, height, BMI
- Medical parameters: blood, pressure, fat, blood sugar, plasma
- Non-medical parameters: physical activity, diet plan
- Questionnaires filled
- Text mining can be performed
#### Structured vs. unstructured
- Structured: Time, date and code in diagnosis logs, can be stored in RDBMS
- Semi-structured: medication taken, procedures, allergic reactions
- Unstructured: Clinical notes, need NLP tools
### Smart digital health platform
#### Diagram
![stuff](./assets/5-smart-health-platform.webp)
#### Use Cases
- Heart disease detection
- Computer aided retinal disease diagnosis
### Conclusion
- Future of healthcare technology involves:
- Self monitoring
- AI for health management
- Research is being developed to integrate real-time data with technology
- Require future clinical trails
- Explainable artificial intelligence:
- Need model transparency for clinicians and stakeholders
- Need collaboration in all fields:
- Academics
- Clinicians
- Industries
- Stakeholders

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