Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney ...

Results: A total of 46,097 patients with sepsis from multiple cohorts were enrolled for analysis. Among 17,928 patients with sepsis in the derivation cohort, 8081 patients (45.1%) showed progression ...
Journal of Medical Internet Research

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder ...

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care ...
IEEE

Predicting Financial Statement Fraud with Deep Q-Network (DQN) Model: A Machine Learning ...

Abstract: Financial statement fraud (FSF) involves inflating asset, income, sales, and profit numbers while minimizing expenses, liabilities, and losses. Traditional fraud detection procedures like ...