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 faz parte do Programa de cursos integrados IA para Medicina
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oferecido por
Programa de cursos integrados IA para Medicinadeeplearning.aiInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 3 no
Nível intermediário
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Aprox. 31 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
O que você vai aprender
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 você terá
- Deep Learning
- Machine Learning
- time-to-event modeling
- Random Forest
- model tuning
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 2 de 3 no
Nível intermediário
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Aprox. 31 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Inglês, Espanhol
oferecido por
deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programa - O que você aprenderá com este curso
9 horas para concluir
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 concluir
11 vídeos (Total 28 mín.), 3 leituras, 3 testes
7 horas para concluir
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 concluir
15 vídeos (Total 41 mín.)
6 horas para concluir
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 concluir
16 vídeos (Total 38 mín.)
8 horas para concluir
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 concluir
24 vídeos (Total 69 mín.), 3 leituras, 2 testes
Avaliações
- 5 stars78,19%
- 4 stars16,31%
- 3 stars3,23%
- 2 stars1,54%
- 1 star0,70%
Principais avaliações do AI FOR MEDICAL PROGNOSIS
por RR15 de jan de 2021
after taking Deep Learning Specialization and machine learning and python on coursera things are getting better and clearer in this course.
por PP20 de jan 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 LM30 de mai de 2020
Very interesting and concise introduction to the foundations of a topic which can only grow and grow in importance in the future.
por BP4 de ago de 2020
This course enabled me to apply machine learning for prognosis related scenario & learn multiple risk assessment related scenario.
Sobre Programa de cursos integrados 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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