A Time Series Based Method for Analyzing and Predicting Personalized Medical Data

In this paper, we propose a time series based method for analyzing and predicting personal medical data. First, we introduce an auto-regressive integrated moving average model which is good for all time series processes. Second, we describe how to identify a personalized time series model based on the patient.s history information, followed by estimating the parameters in the model. Furthermore, a case study is presented to show how the proposed method works. In addition, we forecast the laboratory tests for the next twelve months in the future, with giving the corresponding prediction limits. Finally, we draw our contributions as our conclusions.

[1]  D. Cox,et al.  An Analysis of Transformations , 1964 .

[2]  HighWire Press.  Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.

[3]  Donald B. Percival,et al.  Spectral Analysis for Physical Applications , 1993 .

[4]  W W Stead,et al.  Practicing nephrology with a computerized medical record. , 1983, Kidney international.

[5]  David A. Dickey,et al.  Unit Roots in Time Series Models: Tests and Implications , 1986 .

[6]  Eugen Slutzky.  Summation of random causes as the source of cyclic processes , 1937 .

[7]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[8]  G. U. Yule,et al.  The Foundations of Econometric Analysis: On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers ( Philosophical Transactions of the Royal Society of London , A, vol. 226, 1927, pp. 267–73) , 1995 .

[9]  Terence C. Mills,et al.  Time series techniques for economists , 1990 .

[10]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[11]  A. Walden,et al.  Spectral analysis for physical applications : multitaper and conventional univariate techniques , 1996 .

[12]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[13]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[14]  Shien-Ming Wu,et al.  Time series and system analysis with applications , 1983 .