Copertina

A REVIEW OF EXPLAINABLE AI APPLICATIONS IN PHARMACOVIGILANCE FOR IMPROVED PATIENT SAFETY

Fuente: Zenodo

Salvato in:

Dettagli Bibliografici
Autore principale:	INTERNATIONAL JOURNAL OF ADVANCED RESEARCH & INNOVATIONS
Natura:	Recurso digital
Pubblicazione:	Zenodo 2025
Soggetti:	Artificial Intelligence Drugs Predictive Models Data Models Safety Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

USING MACHINE LEARNING TO ANALYZE AND PREDICT THE IMPACT OF EARTHQUAKES ON COMMUNITIES
di: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH & INNOVATIONS
Pubblicazione: (2025)

KNOWLEDGE MANAGEMENT IMPROVES ORGANIZATIONAL LEARNING AND PERFORMANCE
di: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH & INNOVATIONS
Pubblicazione: (2025)

COORDINATED CONTROL DESIGN AND ANALYSIS OF HYBRID PV–WIND ENERGY SYSTEMS
di: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH & INNOVATIONS
Pubblicazione: (2025)

How big data and AI are changing business growth
di: Wash-Anigboro, Oghenetega Deborah, et al.
Pubblicazione: (2025)

Revolutionizing Formulation Design: The Power of Ai-Driven De Novo Approaches
di: Rohan Raut1, Sanika Mote2*
Pubblicazione: (2026)

Use of Artificial Neural Network in Educational Laboratory Applications: Low-Velocity Impact Test
di: Yusuf Uzun, et al.
Pubblicazione: (2025)

Comparative Analysis of Topic Modeling Techniques on ATSB Text Narratives Using Natural Language Processing
di: Nanyonga, Aziida, et al.
Pubblicazione: (2025)

Visualising Safety, an Exploration
Pubblicazione: (2023)

Approaches to Forecasting Demands for Library Network Services. Report No. 10.
di: Kang, Jong Hoa
Pubblicazione: (1979)

The Effect of Parameter Uncertainties on the Prediction of a Library Network Model
di: Rouse, William B., et al.
Pubblicazione: (1978)

Data Driven Attrition Prediction In Enterprise Organization
di: Rozina Naz, et al.
Pubblicazione: (2026)

A collection of empirical relations for use in ecological modelling
di: Brey, T.
Pubblicazione: (1999)

Machine Learning-Based Employee Performance Rating System
di: Siddharth Sharma, et al.
Pubblicazione: (2026)

The Integration of Artificial Intelligence and Machine Learning in Credit Risk Assessment: An Empirical and Ethical Analysis
di: jayaraman, Chitra
Pubblicazione: (2025)

Crop Yield Prediction Using Machine Learning and Weather Data: A Python-Based Approach
di: Saikat Paramanik
Pubblicazione: (2026)

Failure Modes and Calibration of Local LLMs on Imbalanced VC Prediction
di: Mahamat Saleh, Samir Adam Annour
Pubblicazione: (2026)

Predicting Academic Library Circulations: A Forecasting Methods Competition.
di: Brooks, Terrence A., et al.
Pubblicazione: (1984)

Big Data Analytics for Predicting Urban Crowd Flow Using Digital Footprint Signals
di: Dr.C.K Gomathy, et al.
Pubblicazione: (2025)

NeuroStrike: Neuron-Level Attacks on Aligned LLMs
di: Wu, Lichao
Pubblicazione: (2025)

Forecasting Academic Library Growth
di: Drake, Miriam A.
Pubblicazione: (1976)

Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models
di: Nanyonga, Aziida, et al.
Pubblicazione: (2024)

Conceptual Framework for AI-Based Prediction of Climate Change Impact on Plant Growth
di: Devmalkar, Vijay
Pubblicazione: (2026)

Estimation of Secondary Metabolites in Gliricidia Sepium from Primary Compounds and Regrowth Age
di: Tatiana Gavilánez-Buñay
Pubblicazione: (2023)

Using the Gamma-Poisson Model to Predict Library Circulations.
di: Burrell, Quentin L.
Pubblicazione: (1990)

A SURVEY OF MACHINE LEARNING MODELS FOR INFRASTRUCTURE RESILIENCE IN FINTECH APPLICATIONS
di: Patel, Dr. Jvalantkumar Kanaiyalal
Pubblicazione: (2025)

CSLV: Cross-Source Logical Validation for Reducing Source-Induced Reasoning Bias in Large Language Models
di: Khan, Alim ul haq
Pubblicazione: (2026)

Predicting Book Fund Expenditures: A Statistical Model.
di: Sauer, Tim
Pubblicazione: (1978)

Methodological Assessment and Time-Series Forecasting in Off-Grid Communities of Rwanda: Evaluating Risk Reduction Systems
di: Mukasoka, Nkubaju, et al.
Pubblicazione: (2003)

Predictors of Interlibrary Loan Turnaround Times.
di: Hert, Carol Anne
Pubblicazione: (1987)

Analytics as Competitive Advantage: A Multi-Level Enterprise Framework
di: Serez, Can
Pubblicazione: (2025)

When Static Models Meet Dynamic Disease: Why Ignoring Clinical Dynamics Risks Building Bias into Health AI. Clinical AI & Dynamic Systems — URM Series.
di: Domargård, Anita
Pubblicazione: (2026)

A Bivariate Model to Predict Library Circulation.
di: Barr, Aiala, et al.
Pubblicazione: (1991)

EXPLAINABLE AI-DRIVEN CLINICAL DECISION SUPPORT SYSTEMS IN PRECISION ONCOLOGY: INTERPRETABLE MODELS FOR MULTIMODAL CANCER CARE
di: Ohmini Krishnamurthy Rajendran
Pubblicazione: (2026)

Link Prediction in Social Networks Using Markov Random Field
di: Zohreh Zalaghi
Pubblicazione: (2015)

Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and code)
di: Montazeri, Naim
Pubblicazione: (2025)

Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and codes)
di: Montazeri, Naim
Pubblicazione: (2025)

Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and code)
di: Montazeri, Naim
Pubblicazione: (2025)

Linearization of the activated sludge model ASM1 for fast and reliable predictions
di: Smets, I., Haegebaert, J., Carrette, R., Van Impe, J
Pubblicazione: (2003)

Analysis and forecast of Pontic shad (Alosa immaculata) catch in the Danube River
di: Smederevac-Lalić, M., et al.
Pubblicazione: (2018)

"eHealth Informatics using EHR: A Comparative Analysis of Data Mining Classification Techniques"
di: Dr. Vaishali S Parsania
Pubblicazione: (2023)