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Logistic Models

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Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

Clinical chemistry and laboratory medicine
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods for evaluating patients with suspected sepsis using data from routinely available blood tests performed on arrival at the hospital. Results were compar...

Development and Evaluation of Machine Learning-Based High-Cost Prediction Model Using Health Check-Up Data by the National Health Insurance Service of Korea.

International journal of environmental research and public health
In this study, socioeconomic, medical treatment, and health check-up data from 2010 to 2017 of the National Health Insurance Service (NHIS) of Korea were analyzed. This year's socioeconomic, treatment, and health check-up data are used to develop a p...

Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs.

CPT: pharmacometrics & systems pharmacology
The application of logistic regression (LR) and Cox Proportional Hazard (CoxPH) models are well-established for evaluating exposure-response (E-R) relationship in large molecule oncology drugs. However, applying machine learning (ML) models on evalua...

Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.

Sensors (Basel, Switzerland)
While computer networks and the massive amount of communication taking place on these networks grow, the amount of damage that can be done by network intrusions grows in tandem. The need is for an effective and scalable intrusion detection system (ID...

Predicting mortality in the very old: a machine learning analysis on claims data.

Scientific reports
Machine learning (ML) may be used to predict mortality. We used claims data from one large German insurer to develop and test differently complex ML prediction models, comparing them for their (balanced) accuracy, but also the importance of different...

The estimation and interpretation of ordered logit models for assessing the factors connected with the productivity of Holstein-Friesian dairy cows in Egypt.

Tropical animal health and production
The incorporation of novel technologies such as artificial intelligence, data mining, and advanced statistical methodologies have received wide responses from researchers. This study was designed to model the factors impacting the actual milk yield o...

Construction and Application of the Financial Early-Warning Model Based on the BP Neural Network.

Computational intelligence and neuroscience
In order to further improve the early-warning effect of enterprise financial crisis management and reduce the occurrence of enterprise financial crisis, by taking listed companies as examples and combining the operating conditions of listed companies...

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction.

IEEE journal of biomedical and health informatics
Drug-induced liver injury describes the adverse effects of drugs that damage the liver. Life-threatening results were also reported in severe cases. Therefore, liver toxicity is an important assessment for new drug candidates. These reports are docum...

Botnet Attack Detection in IoT Using Machine Learning.

Computational intelligence and neuroscience
There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk...

Logistic Regression With Machine Learning Sheds Light on the Problematic Sexual Behavior Phenotype.

Journal of addiction medicine
OBJECTIVES: There has been a longstanding debate about whether the mechanisms involved in problematic sexual behavior (PSB) are similar to those observed in addictive disorders, or related to impulse control or to compulsivity. The aim of this report...