Academic Articles & Research Papers

Predicting bacterial vaginosis incidence using artificial neural networks.

A machine learning model for predicting six-month rehospitalization in heart failure patients with multiple comorbidities.

Deep learning CT signature for predicting early liver metastases in pancreatic ductal adenocarcinoma.

Predicting the habitat suitability and hotspot regions of the near threatened Socotra bluet on the Socotra Archipelago using an integrated modelling approach.

Integrating MaxEnt and MaxNet for climate-resilient habitat restoration: Predicting the ecological niche of Eucalyptus tereticornis in semi-arid landscapes.

PRAME predicting outcome in uveal melanoma.

Integrated proteomics and metabolomics for predicting cardiometabolic risk in pregnant women living with HIV: current evidence and future directions.

Predicting unknown mammalian viral hosts with Dynamic Positive-Unlabeled learning.

Predicting lifetime cardiovascular risk and benefits of preventive treatment in patients with established atherosclerotic cardiovascular disease: the SMART-REACH2 model.

Predicting Demographic Contraction as an Upstream Signal for Health-System Planning: A Persistence-Corrected Machine-Learning Framework.

A machine learning framework for predicting healthcare insurance claim denials.

Predicting mild cognitive impairment from simulated driving performance: A preliminary investigation.

Predicting birth weights in West Africa using subseasonal to seasonal climate and socioeconomic variables shows potential for an early warning system.

Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is...

Field-Aware Click-Through Rate Prediction Model Based on Attention Mechanism

Click-Through Rate(CTR) prediction is one of the most important tools for ad placement.Predicting the CTR of an ad and making recommendations to users can increase ad revenue.Field-aware click-through rate prediction models are superior to ...

Effectiveness and cost-effectiveness of community perinatal mental health services on access, experience, recovery/relapse and obstetric and neonate outcomes: the ESMI-II mixed-methods study

Background Perinatal mental health disorders affect one in five mothers during pregnancy or within 2 years post childbirth. These disorders can lead to poor pregnancy and childbirth outcomes and maternal deaths. Additionally, they negativel...

Bankruptcy Prediction, Financial Distress and Corporate Life Cycle: Case Study of Central European Enterprises

Businesses are influenced by the cyclical nature of economic development and distinct stages in the corporate life cycle. Accurate early-warning mechanisms are crucial to mitigating bankruptcy risk, enabling timely rescue measures. This art...

On prediction in political science

Abstract This article discusses recent moves in political science that emphasise predicting future events rather than theoretically explaining past ones or understanding empirical generalisations. Two types of prediction are defined: pragma...

Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...