Bone age assessment with various machine learning techniques: a systematic literature review and meta-analysis
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 …
chronological age is an important task in the medical environment for the diagnosis of …
Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
Abstract A Dynamic Bayesian network (DBN) model for solar power generation forecasting
in photovoltaic (PV) solar plants is proposed in this paper. The key idea is to fuse sensor …
in photovoltaic (PV) solar plants is proposed in this paper. The key idea is to fuse sensor …
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 …
method that simultaneously estimates contemporaneous (intra-slice) and time-lagged (inter …
Next-generation phenoty** of electronic health records
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 …
unprecedented amount of data available for clinical research, but the data are complex …
[HTML][HTML] A review of causal inference for biomedical informatics
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 …
informatics work such as finding adverse drug events or risk factors for disease using …
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 …
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
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 …
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 …
networks have recently been paid great concern to environmental modeling to capture …
Standardizing research methods for prognostics
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 …
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
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 …
patients and high costs of care. After decades of research little is known about its …