Bone age assessment with various machine learning techniques: a systematic literature review and meta-analysis

AL Dallora, P Anderberg, O Kvist, E Mendes… - PloS one, 2019 - journals.plos.org
BACKGROUND The assessment of bone age and skeletal maturity and its comparison to
chronological age is an important task in the medical environment for the diagnosis of …

[HTML][HTML] A review of causal inference for biomedical informatics

S Kleinberg, G Hripcsak - Journal of biomedical informatics, 2011 - Elsevier
Causality is an important concept throughout the health sciences and is particularly vital for
informatics work such as finding adverse drug events or risk factors for disease using …

Dynotears: Structure learning from time-series data

R Pamfil, N Sriwattanaworachai… - International …, 2020 - proceedings.mlr.press
We revisit the structure learning problem for dynamic Bayesian networks and propose a
method that simultaneously estimates contemporaneous (intra-slice) and time-lagged (inter …

Next-generation phenotyping of electronic health records

G Hripcsak, DJ Albers - Journal of the American Medical …, 2013 - academic.oup.com
The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …

Multiple license plate detection for complex background

CT Hsieh, YS Juan, KM Hung - 19th International Conference …, 2005 - ieeexplore.ieee.org
This paper presents a wavelet transform based method for extracting license plates from
cluttered images. The proposed system consists of three major stages. First, a wavelet …

Decision tree for adjuvant right ventricular support in patients receiving a left ventricular assist device

Y Wang, MA Simon, P Bonde, BU Harris… - The Journal of heart and …, 2012 - Elsevier
BACKGROUND: Right ventricular (RV) failure is a significant complication after implantation
of a left ventricular assist device (LVAD). It is therefore important to identify patients at risk a …

Dynamic Bayesian networks with application in environmental modeling and management: A review

J Chang, Y Bai, J Xue, L Gong, F Zeng, H Sun… - … Modelling & Software, 2023 - Elsevier
Abstract Dynamic Bayesian networks (DBNs) as an extension of traditional Bayesian
networks have recently been paid great concern to environmental modeling to capture …

Standardizing research methods for prognostics

S Uckun, K Goebel, PJF Lucas - 2008 International Conference …, 2008 - ieeexplore.ieee.org
Prognostics and health management (PHM) is a maturing system engineering discipline. As
with most maturing disciplines, PHM does not yet have a universally accepted research …

Machine learning and microsimulation techniques on the prognosis of dementia: A systematic literature review

AL Dallora, S Eivazzadeh, E Mendes, J Berglund… - PloS one, 2017 - journals.plos.org
Background Dementia is a complex disorder characterized by poor outcomes for the
patients and high costs of care. After decades of research little is known about its …

Predicting the outcome of limb revascularization in patients with lower-extremity arterial trauma: development and external validation of a supervised machine …

ZB Perkins, B Yet, A Sharrock, R Rickard… - Annals of …, 2020 - journals.lww.com
Objectives: Estimating the likely success of limb revascularization in patients with lower-
extremity arterial trauma is central to decisions between attempting limb salvage and …