中This course covers essential AI concepts in healthcare, starting with key algorithms and their role in decision-making. Learners will explore the craft of AI modeling, from data preparation to evaluation, and examine different model-based algorithms, based on the learning process, such as supervised, unsupervised, and reinforced learning algorithms.
AI Integration in Healthcare
您将学到什么
Understand key AI algorithms and their applications in healthcare decision-making.
Learn the fundamentals of AI modeling, including data preparation, training, and evaluation.
Explore different AI model types and design principles for effective healthcare integration.
您将获得的技能
- Applied Machine Learning
- Predictive Modeling
- Machine Learning
- Human Factors (Security)
- Reinforcement Learning
- Artificial Intelligence
- Exploratory Data Analysis
- Data Mining
- Descriptive Analytics
- Statistical Modeling
- Machine Learning Algorithms
- Decision Support Systems
- Unsupervised Learning
- Health Informatics
- Supervised Learning
- Data Modeling
- Diagnostic Tests
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
September 2025
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 AI for Healthcare Systems 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
Provides hands-on understanding of learning algorithms, using supervised and unsupervised processes, tailored for healthcare data and applications.
涵盖的内容
5个视频1篇阅读材料1个作业
Focuses on building effective AI models, from framing the problem to model training.
涵盖的内容
5个视频1篇阅读材料1个作业
Explores categories of AI models, from predictive to diagnostic or descriptive systems.
涵盖的内容
4个视频1篇阅读材料1个作业
Examines design principles for creating reliable and user-centered health AI systems.
涵盖的内容
4个视频1篇阅读材料1个作业
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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