Acerca de este Curso

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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 intermedio

You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.

Aprox. 30 horas para completar
Inglés (English)

Qué aprenderás

  • Walk through examples of prognostic tasks

  • Apply tree-based models to estimate patient survival rates

  • Navigate practical challenges in medicine like missing data  

Habilidades que obtendrás

Deep LearningMachine Learningtime-to-event modelingRandom Forestmodel tuning
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 intermedio

You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.

Aprox. 30 horas para completar
Inglés (English)

ofrecido por

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deeplearning.ai

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up97%(1,818 calificaciones)Info
Semana
1

Semana 1

9 horas para completar

Linear prognostic models

9 horas para completar
11 videos (Total 28 minutos), 4 lecturas, 2 cuestionarios
11 videos
Prerequisites and Learning Outcomes1m
Medical Prognosis2m
Examples of Prognostic Tasks2m
Atrial fibrillation2m
Liver Disease Mortality2m
Risk of heart disease2m
Risk Score Computation4m
Evaluating Prognostic Models1m
Concordant Pairs, Risk Ties, Permissible Pairs2m
C-Index3m
4 lecturas
Connect with your mentors and fellow learners on Slack!10m
Please save your work regularly10m
About the automatic grader10m
How to refresh your workspace10m
1 ejercicio de práctica
Week 1 Quiz30m
Semana
2

Semana 2

7 horas para completar

Prognosis with Tree-based models

7 horas para completar
15 videos (Total 41 minutos)
15 videos
Decision trees1m
Dividing the input space2m
Building a decision tree2m
How to fix overfitting4m
Survival Data3m
Different distributions2m
Missing Data example2m
Missing completely at random2m
Missing at random3m
Missing not at random3m
Imputation1m
Mean Imputation4m
Regression Imputation2m
Calculate Imputed Values2m
1 ejercicio de práctica
Week 2 Quiz30m
Semana
3

Semana 3

6 horas para completar

Survival Models and Time

6 horas para completar
16 videos (Total 38 minutos)
16 videos
Survival Function2m
Valid survival functions3m
Collecting Time Data1m
When a stroke is not observed2m
Heart Attack Data2m
Right censoring1m
Estimating the survival function1m
Died immediately, or never die3m
Somewhere in-between1m
Using censored data1m
Chain rule of conditional probability2m
Deriving Survival2m
Calculating Probabilities from the Data3m
Comparing Estimates3m
Kaplan Meier Estimate2m
1 ejercicio de práctica
Week 3 Quiz30m
Semana
4

Semana 4

8 horas para completar

Build a risk model using linear and tree-based models

8 horas para completar
24 videos (Total 69 minutos), 3 lecturas, 2 cuestionarios
24 videos
Hazard3m
Survival to hazard2m
Cumulative Hazard3m
Individualized Predictions3m
Relative risk3m
Ranking patients by risk1m
Individual vs. baseline hazard2m
Smoker vs. non-smoker2m
Effect of age on hazard3m
Risk factor increase per unit increase in a variable1m
Risk Factor Increase or Decrease4m
Intro to Survival Trees4m
Survival tree5m
Nelson Aalen estimator5m
Comparing risks of patients1m
Mortality score2m
Evaluation of Survival Model3m
Permissible and Non-Permissible Pairs2m
Possible Permissible Pairs1m
Example of Harrell's C-Index3m
Example of Concordant Pairs2m
Week 4 Summary47s
Congratulations!1m
3 lecturas
Congratulations on finishing course 2!10m
Acknowledgements10m
Citations10m
1 ejercicio de práctica
Week 4 Quiz30m

Reseñas

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