Prediction of Sepsis Mortality in ICU patients using machine learning methods

J Gao, Y Lu, N Ashrafi, I Domingo, K Alaei… - BMC Medical Informatics …, 2024 - Springer
Problem Sepsis, a life-threatening condition, accounts for the deaths of millions of people
worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and …

Pentraxin-3 as a predictive marker of mortality in sepsis: an updated systematic review and meta-analysis

G Wang, C Jiang, J Fang, Z Li, H Cai - Critical Care, 2022 - Springer
Background The purpose of this study was to clarify the prognostic value of Pentraxin-3
(PTX3) on the mortality of patients with sepsis. Methods Publications published up to …

[HTML][HTML] A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes–Mallows index

D Chicco, G Jurman - Journal of Biomedical Informatics, 2023 - Elsevier
Even if assessing binary classifications is a common task in scientific research, no
consensus on a single statistic summarizing the confusion matrix has been reached so far …

Eleven quick tips for data cleaning and feature engineering

D Chicco, L Oneto, E Tavazzi - PLOS Computational Biology, 2022 - journals.plos.org
Applying computational statistics or machine learning methods to data is a key component of
many scientific studies, in any field, but alone might not be sufficient to generate robust and …

Clinical applications of machine learning in the survival prediction and classification of sepsis: coagulation and heparin usage matter

F Guo, X Zhu, Z Wu, L Zhu, J Wu, F Zhang - Journal of translational …, 2022 - Springer
Background Sepsis is a life-threatening syndrome eliciting highly heterogeneous host
responses. Current prognostic evaluation methods used in clinical practice are …

Fairness as an afterthought: An American perspective on fairness in model developer-clinician user collaborations

J Banja, JW Gichoya, N Martinez-Martin… - PLOS Digital …, 2023 - journals.plos.org
Numerous ethics guidelines have been handed down over the last few years on the ethical
applications of machine learning models. Virtually every one of them mentions the …

In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records

R Bopche, LT Gustad, JE Afset, B Ehrnström… - JAMIA …, 2024 - academic.oup.com
Objective This study aimed to investigate the predictive capabilities of historical patient
records to predict patient adverse outcomes such as mortality, readmission, and prolonged …

Nfgen: Automatic non-linear function evaluation code generator for general-purpose mpc platforms

X Fan, K Chen, G Wang, M Zhuang, Y Li… - Proceedings of the 2022 …, 2022 - dl.acm.org
Due to the absence of a library for non-linear function evaluation, so-called general-purpose
secure multi-party computation (MPC) are not as" general''as MPC programmers expect …

Data analytics and clinical feature ranking of medical records of patients with sepsis

D Chicco, L Oneto - BioData mining, 2021 - Springer
Background Sepsis is a life-threatening clinical condition that happens when the patient's
body has an excessive reaction to an infection, and should be treated in one hour. Due to …

Rapid Escherichia coli Cloned DNA Detection in Serum Using an Electrical Double Layer-Gated Field-Effect Transistor-Based DNA Sensor

AK Paulose, YJ Hou, YS Huang… - Analytical …, 2023 - ACS Publications
In this study, a rapid diagnosis platform was developed for the detection of Escherichia coli
O157: H7. An electrical double layer (EDL)-gated field-effect transistor-based biosensor …