Open AccessMorbidity-Mortality Table Construction for Eleven Chronical Diseases (ECD) Using Constant Force Assumption
Author(s) -
Andini Setyo Anggraeni,
Amalia Listiani,
Khairul Alim,
Adhitya Ronnie Effendie
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1341/6/062030
Subject(s) - table (database) , interval (graph theory) , constant (computer programming) , probabilistic logic , markov chain , measure (data warehouse) , statistics , mortality rate , medicine , mathematics , demography , computer science , surgery , data mining , sociology , combinatorics , programming language
This paper describes the construction of morbidity-mortality table if the dataset is only available at ages interval. The table used to measure the interaction between morbidity and mortality on the eleven chronical diseases (ECD). The probabilistic framework is based on the multiple-states Markov model. The transition intensities are assumed constant in each age interval. This paper finds high probability someone stays in state ECD and higher probability someone dies because of ECD than other causes.