Data on Pulmonary Arterial Hypertension supporting the paper titled "Individualised Survival Predictions using State Space Model with Longitudinal and Survival Data".

<p dir="ltr">Training and testing data sets for longitudinal and survival analysis on pulmonary hypertension including baseline information and the longitudinal walking distance from exercise tests. For method, reader is referred to: https://github.com/mcauchi1/LSDSM</p><p dir="ltr">Data is extracted from the ASPIRE registry. The ASPIRE registry is an ethically approved research database managed by Sheffield Teaching Hospitals NHS Foundation Trust (STH14169, REC 22/EE/0011).</p><p dir="ltr">Data consists of an exerpt of the exercise tests routinely performed by patients at the Pulmonary Vascular Disease Unit in Sheffield.</p><p dir="ltr">Data columns are:</p><ol><li>id - Patient ID</li><li>EvTime - Event Time (in months)</li><li>event - Event (Binary variable indicating event happened or not)</li><li>time - Time at which measurement is taken (in months)</li><li>dx - Diagnosis of PH group</li><li>baseAge - Age at Baseline</li><li>isMale - Binary variable indicating male or female</li><li>whoFC3-4 - Binary variable indicating the classification WHO Functional Class III/IV (or I/II)</li><li>y - Measurement value (walking distance in metres)</li></ol><p dir="ltr">Training data consists of 773 unique patients while testing data consists of 332 unique patients.</p>