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
oferecido por
Programa de cursos integrados IA para Medicinadeeplearning.aiInformações sobre o curso
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 3 de 3 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Aprox. 22 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
O que você vai aprender
Estimate treatment effects using data from randomized control trials
Explore methods to interpret diagnostic and prognostic models
Apply natural language processing to extract information from unstructured medical data
Habilidades que você terá
treatment effect estimationmachine learning interpretationRandom Forestnatural language entity extractionquestion-answering
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 3 de 3 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
We recommend first completing Course 1 and 2 of the AI For Medicine Specialization.
Aprox. 22 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Vietnamita, Coreano, Alemão, Russo, Turco, Inglês, Espanhol
oferecido por
deeplearning.ai
Founded by Andrew Ng, DeepLearning.AI is an education technology company that develops a global community of AI talent.
Programa - O que você aprenderá com este curso
8 horas para concluir
Treatment Effect Estimation
In this week, you will learn: How to analyze data from a randomized control trial, interpreting multivariate models, evaluating treatment effect models, and interpreting ML models for treatment effect estimation.
8 horas para concluir
12 vídeos (Total 43 mín.), 3 leituras, 2 testes
12 videos
About Course 31min
Absolute risk reduction2min
Randomized control trials4min
Causal inference4min
Average treatment effect4min
Conditional average treatment effect4min
T-Learner3min
S-Learner4min
Evaluate individualized treatment effect3min
C-for-benefit2min
C-for-benefit calculation5min
3 leituras
Connect with your mentors and fellow learners on Slack10min
About the automatic grader10min
How to refresh your workspace10min
1 exercício prático
Quiz: Measuring Treatment Effects30min
7 horas para concluir
Medical Question Answering
In this week, you will learn how to extract disease labels from clinical reports, and also question answering with BERT.
7 horas para concluir
10 vídeos (Total 32 mín.)
10 videos
Handling words with multiple meanings2min
Define the answer in a text4min
Automatic label extraction for medical imaging3min
Synonyms for labels2min
Is-a relationships for labels3min
Presence or absence of a disease2min
Evaluating label extraction1min
Precision and recall and F1 score4min
Evaluating on multiple disease categories3min
1 exercício prático
Quiz: Information Extraction with NLP30min
7 horas para concluir
ML Interpretation
In this week, you will learn how to interpret deep learning models, and also feature importance in machine learning.
7 horas para concluir
9 vídeos (Total 29 mín.), 2 leituras, 2 testes
9 videos
Permutation method2min
Individual feature importance3min
Shapley values2min
Combining importances4min
Shapley values for all patients3min
Interpreting CNN models2min
Localization maps4min
Heat maps3min
2 leituras
Acknowledgements10min
Citations10min
1 exercício prático
ML Interpretation30min
Avaliações
Principais avaliações do AI FOR MEDICAL TREATMENT
por KN7 de Dez de 2020
The assignment for the first week was out of scope for the course in my opinion. It was too much focused on a good handling of pandas which is rather difficult for people who are not experts in pandas
por AA23 de Jun de 2020
A bit tough, but well laid and well explained.Overall the entire specialization was very good. However it misses in depth theory . But overall a very good course with practical applications
por RB12 de Jun de 2020
A very nice course and specialization as well. Offers so much to learn even for those who are pure machine learners.Instructors were fantastic.Assignments were challenging but excellent.
por AS7 de Jun de 2020
Fantastic coursework teaching fundamentals required for analysis of medical domain data. Quality content with great assignments. Level of difficulty is intermediate for the assignments.
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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