Applying Machine Learning Algorithms to Segment High-Cost Patient Populations

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Applying Machine Learning Algorithms in Software Development

Machine learning deals with the issue of how to build programs that improve their performance at some task through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. They are particularly useful for (a) poorly understood problem domains where little knowledge exists for the humans to develop effective algorithms; (b) domains w...

متن کامل

The Process of Applying Machine Learning Algorithms

In this paper we present a view of the overall process of application development for real-world classiication and regression problems. Speciically, we identify, categorize and discuss the various problem-speciic factors that innuence this process.

متن کامل

Applying Machine Learning Algorithms to Oil Reservoir Production Optimization

In well control optimization for an oil reservoir described by a set of geological models, the expectation of net present value (NPV) is optimized. This approach called robust optimization, entails running the reservoir simulator for all the reservoir models at each iteration of the optimization algorithm. Hence, robust optimization can be computationally demanding. One way to reduce the comput...

متن کامل

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

متن کامل

Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms

We present an approach to the design of an automatic text summarizer that generates a summary by extracting sentence segments. First, sentences are broken into segments by special cue markers. Each segment is represented by a set of predeened features (e.g. location of the segment, number of title words in the segment). Then supervised learning algorithms are used to train the summarizer to ext...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of General Internal Medicine

سال: 2018

ISSN: 0884-8734,1525-1497

DOI: 10.1007/s11606-018-4760-8