AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
Este curso forma parte de Programa especializado: IA para medicina
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ofrecido por
Programa especializado: IA para medicinadeeplearning.aiAcerca de este Curso
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Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 3 en
Nivel intermedio
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Aprox. 31 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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 Learning
- Machine Learning
- time-to-event modeling
- Random Forest
- model tuning
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 3 en
Nivel intermedio
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Aprox. 31 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programa - Qué aprenderás en este curso
9 horas para completar
Linear Prognostic Models
Build a linear prognostic model using logistic regression, then evaluate the model by calculating the concordance index. Finally, improve the model by adding feature interactions.
9 horas para completar
11 videos (Total 28 minutos), 3 lecturas, 3 cuestionarios
7 horas para completar
Prognosis with Tree-based Models
Tune decision tree and random forest models to predict the risk of a disease. Evaluate the model performance using the c-index. Identify missing data and how it may alter the data distribution, then use imputation to fill in missing data, in order to improve model performance.
7 horas para completar
15 videos (Total 41 minutos)
6 horas para completar
Survival Models and Time
This week, you will work with data where the time that a disease occurs is a variable. Instead of predicting just the 10-year risk of a disease, you will build more flexible models that can predict the 5 year, 7 year, or 10 year risk.
6 horas para completar
16 videos (Total 38 minutos)
8 horas para completar
Build a Risk Model Using Linear and Tree-based Models
This week, you will fit a linear model, and a tree-based risk model on survival data, to customize a risk score for each patient, based on their health profile. The risk score represents the patient’s relative risk of getting a particular disease. You will then evaluate each model’s performance by implementing and using a concordance index that incorporates time to event and censored data.
8 horas para completar
24 videos (Total 69 minutos), 3 lecturas, 2 cuestionarios
Reseñas
- 5 stars78,16 %
- 4 stars16,33 %
- 3 stars3,23 %
- 2 stars1,54 %
- 1 star0,70 %
Principales reseñas sobre AI FOR MEDICAL PROGNOSIS
por MS3 de ago. de 2020
the coding assignments were not that hard sadly, but the knowledge about techniques and methods and formulas to interpret the prognosis is very helpful
por BP4 de ago. de 2020
This course enabled me to apply machine learning for prognosis related scenario & learn multiple risk assessment related scenario.
por PP20 de ene. de 2021
Def an eye opening course with all the various NLP libraries and also the survival modeling. The content was clear and easy to understand if you have the required background.
por YS25 de abr. de 2020
This was a wonderful course, I am now able to see how this course relates to the actual medical field, where we go from diagnosis to treatment and finally prognosis.
Acerca de Programa especializado: IA para medicina
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
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