Acerca de este Curso

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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
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Nivel principiante
Aprox. 12 horas para completar
Inglés (English)

Qué aprenderás

  • How to apply a framework for medical data mining

  • Ethical use of data in healthcare decisions

  • How to make use of data that may be inaccurate in systematic ways

  • What makes a good research question and how to construct a data mining workflow answer it

Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 12 horas para completar
Inglés (English)

ofrecido por

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Universidad de Stanford

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

1 hora para completar

Asking and answering questions via clinical data mining

1 hora para completar
12 videos (Total 19 minutos), 2 lecturas, 3 cuestionarios
12 videos
Introduction to the data mining workflow1m
Real Life Example1m
Example: Finding similar patients2m
Example: Estimating risk37s
Putting patient data on timeline51s
Revisit the data mining workflow steps1m
Types of research questions2m
Research questions suited for clinical data55s
Example: making decision to treat1m
Properties that make answering a research question useful1m
Wrap Up1m
2 lecturas
Study Guide Module 15m
Citations and Additional Readings5m
3 ejercicios de práctica
Reflection Exercise10m
Reflection Exercise10m
Knowledge Check30m
Semana
2

Semana 2

2 horas para completar

Data available from Healthcare systems

2 horas para completar
16 videos (Total 32 minutos), 3 lecturas, 4 cuestionarios
16 videos
Review of key entities and the data they collect1m
Actors with different interests2m
Common data types in Healthcare2m
Strengths and weaknesses of observational data2m
Bias and error from the healthcare system perspective2m
Bias and error of exposures and outcomes50s
How a patient's exposure might be misclassified2m
How a patient's outcome could be misclassified2m
Electronic medical record data2m
Claims data2m
Pharmacy55s
Surveillance datasets and Registries1m
Population health data sets3m
A framework to assess if a data source is useful1m
Wrap Up1m
3 lecturas
Video Image Credit
Study Guide Module 25m
Citations and Additional Readings5m
4 ejercicios de práctica
Reflection Exercise10m
Reflection Exercise10m
Reflection Exercise15m
Knowledge Check30m
Semana
3

Semana 3

1 hora para completar

Representing time, and timing of events, for clinical data mining

1 hora para completar
12 videos (Total 20 minutos), 2 lecturas, 3 cuestionarios
12 videos
Time, timelines, timescales and representations of time2m
Timescale: Choosing the relevant units of time29s
What affects the timescale1m
Representation of time57s
Time series and non-time series data2m
Order of events1m
Implicit representations of time1m
Different ways to put data in bins2m
Timing of exposures and outcomes3m
Clinical processes are non-stationary2m
Wrap Up1m
2 lecturas
Study Guide Module 35m
Citations and Additional Readings5m
3 ejercicios de práctica
Reflection Exercise10m
Reflection Exercise 215m
Knowledge Check30m
Semana
4

Semana 4

2 horas para completar

Creating analysis ready datasets from patient timelines

2 horas para completar
18 videos (Total 33 minutos), 2 lecturas, 3 cuestionarios
18 videos
Defining the unit of analysis52s
Using features and the presence of features2m
How to create features from structured sources1m
Standardizing features52s
Dealing with too many features3m
The origins of missing values3m
Dealing with missing values1m
Summary recommendations for missing values1m
Constructing new features1m
Examples of engineered features2m
When to consider engineered features1m
Main points about creating analysis ready datasets53s
Structured knowledge graphs2m
So what exactly is in a knowledge graph2m
What are important knowledge graphs2m
How to choose which knowledge graph to use1m
Wrap Up45s
2 lecturas
Study Guide Module 45m
Citations and Additional Readings5m
3 ejercicios de práctica
Reflection Exercise10m
Reflection Exercise20m
Knowledge Check30m

Reseñas

Principales reseñas sobre INTRODUCTION TO CLINICAL DATA

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Acerca de Programa especializado: AI in Healthcare

AI in Healthcare

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