TY - GEN
T1 - A Novel Joint Longitudinal Model for Predicting Post-ICU Anemia
AU - Demuth, Gabriel
AU - Storlie, Curtis
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Patients are known to be at an elevated risk of severe hemoglobin deficiency (anemia) following an Intensive Care Unit (ICU) admission. By using a patient's full hemoglobin history, we create a novel functional predictor of hemoglobin levels for the year following discharge. Because readmission to the hospital is associated with rapid changes in hemoglobin levels due to surgeries and blood transfusions, we incorporate a multistate joint longitudinal model so that patients can change between hospitalized and at home states throughout the period of interest. This model allows for the state of hemoglobin to influence readmission and discharge hazards, and, in a significant innovation in joint longitudinal modeling, readmission events impact a patient's hemoglobin trajectory via an explicit semiparametric model.
AB - Patients are known to be at an elevated risk of severe hemoglobin deficiency (anemia) following an Intensive Care Unit (ICU) admission. By using a patient's full hemoglobin history, we create a novel functional predictor of hemoglobin levels for the year following discharge. Because readmission to the hospital is associated with rapid changes in hemoglobin levels due to surgeries and blood transfusions, we incorporate a multistate joint longitudinal model so that patients can change between hospitalized and at home states throughout the period of interest. This model allows for the state of hemoglobin to influence readmission and discharge hazards, and, in a significant innovation in joint longitudinal modeling, readmission events impact a patient's hemoglobin trajectory via an explicit semiparametric model.
KW - Anemia
KW - Functional Data
KW - ICU
KW - Joint Longitudinal Model
UR - http://www.scopus.com/inward/record.url?scp=85139052240&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139052240&partnerID=8YFLogxK
U2 - 10.1109/ICHI54592.2022.00083
DO - 10.1109/ICHI54592.2022.00083
M3 - Conference contribution
AN - SCOPUS:85139052240
T3 - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
SP - 489
EP - 491
BT - Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Y2 - 11 June 2022 through 14 June 2022
ER -