Short-Term Mortality Prediction for Elderly Patients Using Medicare Claims Data
نویسندگان
چکیده
منابع مشابه
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data
Risk prediction is central to both clinical medicine and public health. While many machine learning models have been developed to predict mortality, they are rarely applied in the clinical literature, where classification tasks typically rely on logistic regression. One reason for this is that existing machine learning models often seek to optimize predictions by incorporating features that are...
متن کاملMortality Differences Between Traditional Medicare and Medicare Advantage: A Risk-Adjusted Assessment Using Claims Data
Medicare Advantage (MA) has grown rapidly since the Affordable Care Act; nearly one-third of Medicare beneficiaries now choose MA. An assessment of the comparative value of the 2 options is confounded by an apparent selection bias favoring MA, as reflected in mortality differences. Previous assessments have been hampered by lack of access to claims diagnosis data for the MA population. An indir...
متن کاملClinician Feedback on Using Episode Groupers with Medicare Claims Data
CMS is investigating techniques that might help identify costly physician practice patterns. One method presently under evaluation is to compare resource use for certain episodes of care using commercially available episode grouping software. Although this software has been used by the private sector to classify insured individuals' medical claims into episodes of care, it has never been used w...
متن کاملUsing Medicare data for short-run projections of the elderly population.
As the elderly population of the United States grows in absolute number and as a proportion of total population, accurate projections of that population become increasingly important for sound policy decisions. Cohort component techniques are typically used for state and local projections of the elderly population, but are often outdated or even nonexistent for many local areas. This paper sugg...
متن کاملData-Driven Mortality Prediction for Trauma Patients
Trauma is the leading cause of death between the ages of 1 to 44. A large number of these deaths occur within days of the arrival of the patient at the hospital. Accurate prediction of the outcomes of trauma patients and the identification of a few key predictors would be highly valuable. In this paper we focus on (1) the prediction of mortality within any given time frame after arrival, and (2...
متن کاملذخیره 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: International Journal of Machine Learning and Computing
سال: 2015
ISSN: 2010-3700
DOI: 10.7763/ijmlc.2015.v5.506