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A novel comorbidity index in Italy based on diseases detected by the surveillance system PASSI and the Global Burden of Diseases disability weights
BackgroundUnderstanding comorbidity and its burden characteristics is essential for policymakers and healthcare providers to allocate resources...
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Investigating ADR mechanisms with Explainable AI: a feasibility study with knowledge graph mining
BackgroundAdverse drug reactions (ADRs) are statistically characterized within randomized clinical trials and postmarketing pharmacovigilance, but...
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Analytical methods for identifying sequences of utilization in health data: a sco** review
BackgroundHealthcare, as with other sectors, has undergone progressive digitalization, generating an ever-increasing wealth of data that enables...
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Theory and rationale of interpretable all-in-one pattern discovery and disentanglement system
In machine learning (ML), association patterns in the data, paths in decision trees, and weights between layers of the neural network are often...
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A framework for inferring and analyzing pharmacotherapy treatment patterns
BackgroundTo discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference...
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Forecasting the Amount of Blood Ordered in the Obstetrics and Gynaecology Ward with the Data Mining Approach
Preoperative blood ordering is frequently used in the obstetrics and gynecology ward of university hospitals in Iran, even for surgeries that rarely...
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Application of data mining techniques and logistic regression to model drug use transition to injection: a case study in drug use treatment centers in Kermanshah Province, Iran
BackgroundDrug injection has been increasing over the past decades all over the world. Hepatitis B and C viruses (HBV and HCV) are two common...
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Exploring predictors of welfare dependency 1, 3, and 5 years after mental health-related absence in danish municipalities between 2010 and 2012 using flexible machine learning modelling
BackgroundUsing XGBoost (XGB), this study demonstrates how flexible machine learning modelling can complement traditional statistical modelling...
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Common clinical blood and urine biomarkers for ischemic stroke: an Estonian Electronic Health Records database study
BackgroundIschemic stroke (IS) is a major health risk without generally usable effective measures of primary prevention. Early warning signals that...
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Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
BackgroundNext-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in oncology clinical...
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Analysis of acupoint-selection patterns in acupuncture-moxibustion treatment of polycystic ovarian syndrome based on data mining
ObjectiveTo analyze the meridian and acupoint-selection patterns in acupuncture-moxibustion treatment of polycystic ovarian syndrome (PCOS) by data...
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Development of an integrated and comprehensive clinical trial process management system
BackgroundThe process of initiating and completing clinical drug trials in hospital settings is highly complex, with numerous institutional,...
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Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism
BackgroundWith the rapid growth of healthcare services, health insurance fraud detection has become an important measure to ensure efficient use of...
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Do baseline industry and job group skill level predict welfare dependency at 1, 3 and 5 years after mental health related sickness absence? A Danish cohort study
BackgroundThe cost of mental ill health in the EU-28 nations has been estimated at approximately 4.1% of the total gross domestic products (GDP)....
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Migrant well-being and undocumented status in South Korea: a cross-sectional assessment of physical, psychological, social well-being, and health behaviors
BackgroundA high burden of physical, mental, and occupational health problems among migrant workers has been well-documented, but data on...
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An ontology-based approach for modelling and querying Alzheimer’s disease data
BackgroundThe recent advances in biotechnology and computer science have led to an ever-increasing availability of public biomedical data distributed...
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Development of an evidence-based model for predicting patient, provider, and appointment factors that influence no-shows in a rural healthcare system
BackgroundNo-show appointments pose a significant challenge for healthcare providers, particularly in rural areas. In this study, we developed an...
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Predicting for anti-(mutant) SARS-CoV-2 and anti-inflammation compounds of Lianhua Qingwen Capsules in treating COVID-19
BackgroundLianhua Qingwen Capsules (LHQW) is a traditional Chinese medicine prescription commonly used to treat viral influenza in China. There has...
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Automated Drug Coding Using Artificial Intelligence: An Evaluation of WHODrug Koda on Adverse Event Reports
IntroductionCoding medicinal products described on adverse event (AE) reports to specific entries in standardised drug dictionaries, such as WHODrug...
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Inflammation-related pathology in the olfactory epithelium: its impact on the olfactory system in psychotic disorders
Smell deficits and neurobiological changes in the olfactory bulb (OB) and olfactory epithelium (OE) have been observed in schizophrenia and related...
