AIMC Topic: Retrospective Studies

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Establishing a machine learning dementia progression prediction model with multiple integrated data.

BMC medical research methodology Nov 22, 2024
OBJECTIVE: Dementia is a significant medical and social issue in most developed countries. Practical tools for predicting the progression of degenerative dementia are highly valuable. Machine learning (ML) methods facilitate the construction of effec...
Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Disease Progression Dementia ROC Curve Mental Status and Dementia Tests
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Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study.

Journal of medical Internet research Nov 22, 2024
BACKGROUND: Accurate hospital length of stay (LoS) prediction enables efficient resource management. Conventional LoS prediction models with limited covariates and nonstandardized data have limited reproducibility when applied to the general populati...
Patient Admission Electronic Health Records Republic of Korea Female Hospitalization Aged Adult Male Middle Aged Length of Stay ROC Curve Humans Machine Learning Retrospective Studies
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Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Male Middle Aged Disease Progression Humans Deep Learning Visual Field Tests Retrospective Studies ROC Curve Follow-Up Studies Fluorescein Angiography Female Tomography, Optical Coherence Macula Lutea Aged Optic Disk Retinal Vessels Intraocular Pressure Retinal Ganglion Cells Glaucoma, Open-Angle Visual Fields
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Automatic pituitary adenoma segmentation and identification of cavernous sinus invasion via multitask learning.

Clinical radiology Nov 21, 2024
AIM: This study aimed to develop a multitask deep learning model for pituitary macroadenoma (PMA) segmentation and identification of cavernous sinus (CS) invasion.
Neoplasm Invasiveness Pituitary Neoplasms Adenoma Image Interpretation, Computer-Assisted Adult Cavernous Sinus Humans Male Retrospective Studies Middle Aged Female Deep Learning Aged Magnetic Resonance Imaging
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Development of a simplified model and nomogram for the prediction of pulmonary hemorrhage in respiratory distress syndrome in extremely preterm infants.

BMC pediatrics Nov 21, 2024
BACKGROUND: Pulmonary hemorrhage (PH) in respiratory distress syndrome (RDS) in extremely preterm infants exhibits a high mortality rate and poor long-term outcomes. The aim of the present study was to develop a machine learning (ML) predictive model...
Lung Diseases Hemorrhage Respiratory Distress Syndrome, Newborn Female Infant, Newborn Male Infant, Extremely Premature Nomograms Humans Machine Learning Retrospective Studies
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Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress.

BMC cancer Nov 21, 2024
BACKGROUND: Oxidative stress process plays a key role in aging and cancer; however, currently, there is paucity of machine-learning model studies investigating the relationship between oxidative stress and prognosis of elderly patients with esophagea...
Oxidative Stress ROC Curve Support Vector Machine Decision Trees Esophageal Neoplasms Aged, 80 and over Survival Rate Biomarkers, Tumor Male Esophageal Squamous Cell Carcinoma Humans Machine Learning Prognosis Retrospective Studies Female Aged
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Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features.

Seminars in arthritis and rheumatism Nov 20, 2024
OBJECTIVE: To investigate the association between systemic sclerosis (SSc) clinical features and the extent and progression of coronary artery calcifications.
Severity of Illness Index Deep Learning Coronary Artery Disease Vascular Calcification Scleroderma, Systemic Adult Male Middle Aged Disease Progression Humans Retrospective Studies Female Aged
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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

Leukemia research Nov 20, 2024
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), re...
Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia Aged Young Adult Adult Survival Rate Child Male Humans Leukemia, Myeloid, Acute Treatment Outcome Middle Aged Machine Learning Follow-Up Studies Adolescent Prognosis Graft vs Host Disease Child, Preschool Retrospective Studies Hematopoietic Stem Cell Transplantation Female
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Prediction of Survival After Pediatric Cardiac Arrest Using Quantitative EEG and Machine Learning Techniques.

Neurology Nov 20, 2024
BACKGROUND AND OBJECTIVES: Early neuroprognostication in children with reduced consciousness after cardiac arrest (CA) is a major clinical challenge. EEG is frequently used for neuroprognostication in adults, but has not been sufficiently validated f...
Infant, Newborn Male Infant Adolescent Humans Child, Preschool Child Machine Learning Predictive Value of Tests Prognosis Electroencephalography Retrospective Studies Heart Arrest Female
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HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment.

Journal of orthopaedic surgery and research Nov 20, 2024
BACKGROUND: Accurate measurement of the hip-knee-ankle (HKA) angle is essential for informed clinical decision-making in the management of knee osteoarthritis (OA). Knee OA is commonly associated with varus deformity, where the alignment of the knee ...
Male Middle Aged Deep Learning Radiography Knee Joint Humans Retrospective Studies Female Aged Automation Hip Joint Ankle Joint Osteoarthritis, Knee
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