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
AI Integration in Healthcare
本课程是 AI for Healthcare Systems 专项课程 的一部分
位教师：Jiban Khuntia
访问权限由 New York State Department of Labor 提供
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
- Descriptive Analytics
- Unsupervised Learning
- Reinforcement Learning
- Machine Learning
- Predictive Modeling
- Regression Analysis
- Decision Support Systems
- Model Evaluation
- Supervised Learning
- Diagnostic Tests
- Classification Algorithms
- Artificial Intelligence
- Health Informatics
- Applied Machine Learning
- Data Modeling
- 技能部分已折叠。显示 9 项技能，共 15 项。
要了解的详细信息
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添加到您的领英档案
作业
4 项作业
授课语言：英语（English）
最近已更新！
September 2025
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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位教师
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