Effective immediately in response to COVID-19, most Technology Training classes will be delivered online until further notice.
In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.
This six-hour course provides a better understanding of how Python can be leveraged to assist Healthcare professionals in the practice of medicine, encompassing Clinical Research, Patient Care, and Hospital Management.
Pre-Requisites: Users will be expected to be comfortable with downloading and running programs on their computers. Some experience with Terminal is desired. No prior experience with Python is necessary for the course.
Target audience: Physicians, Medical Researchers, and Hospital administrators
For participants to develop a better understanding of how Python can be leveraged to assist Healthcare professionals in the practice of medicine. The course will be divided into three topic areas encompassing Clinical Research, Patient Care, and Hospital Management.
Scope: By the end of this course participants will have had a chance to practice the basics of working with Python with hands-on experience developing some real-world applications, all while equipping themselves with the context and awareness for how such tools are leveraged in state of the art solutions.
This six-hour course will be broken into three modules.
Module 1: Leveraging Python's Data Analytics for Clinical Research
Python was born as a language for data analytics, and its core functionality still revolves around manipulating data. For researchers, Python can be an invaluable tool in their arsenal. In this module we will showcase its potential to work on clinical data. We will introduce you to some of the powerful applications Python has for handling and manipulating data, conducting statistical analyses, and generating graphs and other visuals. We will be leveraging sample clinical data to power real examples throughout the session.
- NumPy arrays
- Pandas DataFrames
- Importing data from CSV files
- Basic data manipulation functions:
- Visualizing data
- Statistical Functions
- Regression analysis
- T-Test, P-Test, R2 values etc.
- Case Studies:
- Data Analysis of a Clinical Trial dataset
Module 2: Predictive Modeling and Patient Care
In this module we will explore how python's extensive tools can harness the power of Machine Learning for the practice of patient care. We will provide you with a brief overview of some of the most powerful machine learning approaches and then employ python libraries to conduct end-to-end machine learning exercises. This module will culminate in us creating a model to predict disease progression in patients, and diagnose a disease based on symptoms.
Introduction to Machine learning and predictive analyses
- Key machine learning concepts for classification and regression
- Data preparation
- Regression Modeling
- Linear Regression
- Logistic regression
- Support vector machines, Random Forests
- Neural Nets
- Measuring success of the model
- Feature selection
- Predictive Model of Disease Progression
- Classification Model of Disease Diagnosis
Module 3: Simulations Management and Hospital Administration
In this module we'll explore some of Python's additional capabilities, particularly as they relate to hospital management. We will explore Python's abilities to run simulations, as well as Python's capabilities to serve as a functional programming language for SAAS applications like hospital administration. This module will be coding heavy, oriented around 2 larger coding projects.
- Simulation in Python
- Linking Python functional programming to Graphical User Interfaces
- Structure of more complex python programs
- Simulation of Patient case load and hospital resource utilization
- Hospital Admin dashboard with business function software
University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.