Prediction of Sepsis Mortality in ICU patients using machine learning methods
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 …
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 …
(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
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 …
consensus on a single statistic summarizing the confusion matrix has been reached so far …
Eleven quick tips for data cleaning and feature engineering
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 …
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
Background Sepsis is a life-threatening syndrome eliciting highly heterogeneous host
responses. Current prognostic evaluation methods used in clinical practice are …
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 …
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
Objective This study aimed to investigate the predictive capabilities of historical patient
records to predict patient adverse outcomes such as mortality, readmission, and prolonged …
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
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 …
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
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 …
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 …
O157: H7. An electrical double layer (EDL)-gated field-effect transistor-based biosensor …