Disease types discovery from a large database of inpatient records: A sepsis study
Data-driven phenotype discoveries on Electronic Health Records (EHR) data have recently
drawn benefits across many aspects of clinical practice. In the method described in this …
drawn benefits across many aspects of clinical practice. In the method described in this …
[PDF][PDF] Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization.
Abstract Learning the sparse Gaussian Markov Random Field, or conversely, estimating the
sparse inverse covariance matrix is an approach to uncover the underlying dependency …
sparse inverse covariance matrix is an approach to uncover the underlying dependency …
Predicting sepsis biomarker progression under therapy
Sepsis is a serious, life-threatening condition that presents a growing problem in medicine
and health-care. It is characterized by quick progression and high variability in the disease …
and health-care. It is characterized by quick progression and high variability in the disease …
An adaptive energy saving and reliable routing protocol for limited power sensor networks
In wireless sensor networks, the value of transmission range has a direct impact on energy
utilization. A sensor node makes use of the maximum transmission power and transmission …
utilization. A sensor node makes use of the maximum transmission power and transmission …
[كتاب][B] Advanced Machine Learning Models in Prediction of Medical Conditions
B Ljubic - 2021 - search.proquest.com
The primary goal of Machine learning (ML) models in the prediction of medical conditions is
to accurately predict (classify) the occurrence of a disease, or therapy. Many ML models …
to accurately predict (classify) the occurrence of a disease, or therapy. Many ML models …
[كتاب][B] Predictive Uncertainty Quantification and Explainable Machine Learning in Healthcare
D Gligorijevic - 2018 - search.proquest.com
Predictive modeling is an ever-increasingly important part of decision making. The advances
in Machine Learning predictive modeling have spread across many domains bringing …
in Machine Learning predictive modeling have spread across many domains bringing …
[PDF][PDF] Discovering disease phenotypes from a large database of inpatient records: A sepsis study
Data-driven phenotype discoveries on Electronic Health Records (EHR) data have recently
drawn benefits across many aspects of clinical practice. In the method described in this …
drawn benefits across many aspects of clinical practice. In the method described in this …
Estudo do efeito neuroprotetor do ácido fólico na sepse experimental
MM Novochadlo - 2018 - bdtd.ibict.br
Sepse é uma resposta inflamatória sistêmica a uma infecção grave, podendo levar à
falência de múltiplos órgãos e à morte. Sua fisiopatologia é caracterizada pelas respostas …
falência de múltiplos órgãos e à morte. Sua fisiopatologia é caracterizada pelas respostas …
Strukturirano učenje nad velikim podacima zasnovano na verovatnosnim grafovskim modelima
V Jelisavčić - Универзитет у Београду, 2018 - nardus.mpn.gov.rs
Structured learning is an area that deals with the learning of complex objects from complex
(structured) data. Structured data, in this context, represent data that consists of several …
(structured) data. Structured data, in this context, represent data that consists of several …
[كتاب][B] Functional norm regularization for margin-based ranking on temporal data
I Stojković - 2018 - search.proquest.com
Quantifying the properties of interest is an important problem in many domains, eg,
assessing the condition of a patient, estimating the risk of an investment or relevance of the …
assessing the condition of a patient, estimating the risk of an investment or relevance of the …