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Logistic Models

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Convolutional long short-term memory neural network integrated with classifier in classifying type of asynchrony breathing in mechanically ventilated patients.

Computer methods and programs in biomedicine 39987666
BACKGROUND AND OBJECTIVE: Asynchronous breathing (AB) occurs when a mechanically ventilated patient's breathing does not align with the mechanical ventilator (MV). Asynchrony can negatively impact recovery and outcome, and/or hinder MV management. A ...
Algorithms Humans Intensive Care Units Logistic Models Memory, Short-Term Neural Networks, Computer Respiration Respiration, Artificial Support Vector Machine
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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.

The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases 39985931
INTRODUCTION: We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery.
Adolescent Adult Aged Aged, 80 and over Cardiac Surgical Procedures Female Hospital Mortality Humans Logistic Models Male Middle Aged Neural Networks, Computer Prognosis Retrospective Studies Risk Assessment Risk Factors Surgical Wound Infection Young Adult
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Performance of machine learning models in predicting difficult laryngoscopy in the emergency department: a single-centre retrospective study comparing with conventional regression method.

BMC emergency medicine 39984841
BACKGROUND: Emergency endotracheal intubation is a critical skill for managing airway emergencies in the emergency department (ED). Accurate prediction of difficult laryngoscopy is essential for improving first-attempt success, minimizing complicatio...
Adult Aged Emergency Service, Hospital Female Humans Intubation, Intratracheal Laryngoscopy Logistic Models Machine Learning Male Middle Aged Retrospective Studies ROC Curve
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[Prediction of depression symptoms in seniors and analysis of influencing factors based on explainable machine learning].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi 39965839
This study aims to construct a machine learning model to predict depression symptoms in the elderly and analyze the key influencing factors of depression in the elderly using the shapley additive interpretation (SHAP) method. Based on entries from ...
Aged Algorithms China Depression Female Humans Logistic Models Longitudinal Studies Machine Learning Male ROC Curve Support Vector Machine
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A predictive model for recurrence in patients with borderline ovarian tumor based on neural multi-task logistic regression.

BMC cancer 39962474
BACKGROUND: Effective management of patients with borderline ovarian tumor (BOT) requires the timely identification of those at a higher risk of recurrence. Artificial neural networks have been successfully used in many areas of clinical event predic...
Adult Aged Female Humans Logistic Models Middle Aged Neoplasm Recurrence, Local Neural Networks, Computer Ovarian Neoplasms Prognosis Proportional Hazards Models Retrospective Studies ROC Curve
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Predicting preterm birth using machine learning methods.

Scientific reports 39956843
Preterm birth is a significant public health concern, given its correlation with neonatal mortality and morbidity. The aetiology of preterm birth is complex and multifactorial. The objective of this study was to develop and compare machine learning m...
Adult Algorithms Decision Trees Female Humans Infant, Newborn Logistic Models Machine Learning Pregnancy Premature Birth Support Vector Machine
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Comparison of logistic regression and machine learning methods for predicting depression risks among disabled elderly individuals: results from the China Health and Retirement Longitudinal Study.

BMC psychiatry 39953491
BACKGROUND: Given the accelerated aging population in China, the number of disabled elderly individuals is increasing, and depression is a common mental disorder among older adults. This study aims to establish an effective model for predicting depre...
Activities of Daily Living Aged Aged, 80 and over China Depression Female Humans Logistic Models Longitudinal Studies Machine Learning Male Middle Aged Persons with Disabilities Risk Assessment Risk Factors
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Developing a nomogram model for predicting non-obstructive azoospermia using machine learning techniques.

Scientific reports 39952966
Azoospermia, defined by the absence of sperm in the ejaculate, manifests as obstructive azoospermia (OA) or non-obstructive azoospermia (NOA). Reliable predictive models utilizing biomarkers could aid in clinical decision-making. This study included ...
Adult Azoospermia Biomarkers Follicle Stimulating Hormone Humans Logistic Models Machine Learning Male Nomograms ROC Curve Semen Analysis
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Prediction of mortality risk in critically ill patients with systemic lupus erythematosus: a machine learning approach using the MIMIC-IV database.

Lupus science & medicine 39947742
OBJECTIVE: Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive models for the mortality risk.
Adult Area Under Curve Critical Illness Databases, Factual Female Humans Logistic Models Lupus Erythematosus, Systemic Machine Learning Male Middle Aged Nomograms Risk Assessment Risk Factors ROC Curve
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Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 39945884
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom burden clusters in breast cancer patients undergoing chemotherapy, and to determine an optimal model.
Adult Aged Algorithms Antineoplastic Agents Breast Neoplasms Decision Trees Female Humans Logistic Models Machine Learning Middle Aged Neural Networks, Computer Predictive Value of Tests ROC Curve Sensitivity and Specificity Support Vector Machine Symptom Burden
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