yusuke1997/dblp-id-title huggingface dataset:
AutoNRT TM : An automated system that measures ECAP thresholds with the Nucleus ® Freedom TM cochlear implant via machine intelligence
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans
Learning using privileged information with logistic regression on acute respiratory distress syndrome detection
Exploring ant-based algorithms for gene expression data analysis
Integrating consultation and semi-automatic knowledge acquisition in a prototype-based architecture: experiences with dysmorphic syndromes
GenePath: a system for inference of genetic networks and proposal of genetic experiments
Bridge and brick network motifs: Identifying significant building blocks from complex biological systems
A new framework for classification of multi-category hand grasps using EMG signals
Learning Health Systems provide a glide path to safe landing for AI in health
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer
A bimodal feature fusion convolutional neural network for detecting obstructive sleep apnea/hypopnea from nasal airflow and oximetry signals
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering
Self-focusing therapeutic gene delivery with intelligent gene vector swarms: Intra-swarm signalling through receptor transgene expression in targeted cells
Development and validation of deep continual learning model to sequentially learn multiple clinical prediction tasks for ICU patients
Research on identification of key brittleness factors in emergency medical resources support system based on complex network
RIMD: A novel method for clinical prediction
TEDAR: Temporal dynamic signal detection of adverse reactions
Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier
Fully automated breast boundary and pectoral muscle segmentation in mammograms
Bayesian network approach to detect laboratory errors: Focus on likelihood ratio and critical difference
A study of collaboration among medical informatics research laboratories
Pandemic transition: A review of social media text mining for pandemic transition in the post-vaccination era
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study
Clinical Applications of Artificial Neural Networks: Richard Dybowski, Vanya Gant (Eds.), Cambridge University Press, Cambridge, UK, New York, Oakleigh, Madrid, Cape Town, 2001, 378 pp., 55 figures, 25 tables, Hardcover, ISBN 0521662710
Temporal tree representation for similarity computation between medical patients
Publishing Artificial Intelligence Research Papers: A Tale of Three Journals
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Recurrent neural networks with segment attention and entity description for relation extraction from clinical texts
Making deepness explicit
Comparative study of approximate entropy and sample entropy robustness to spikes
A self-supervised deep Riemannian representation to classify parkinsonian fixational patterns
LIMES: a hypertext interface to a cholesterol management expert system
Logistic-based patient grouping for multi-disciplinary treatment
Employing decomposable partially observable Markov decision processes to control gene regulatory networks
Reinforcement learning application in diabetes blood glucose control: A systematic review
Homer Richards Warner, 1922-2012
Virtual reality in medicine
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma
Reconstruction of central arterial pressure waveform based on CBi-SAN network from radial pressure waveform
Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU
BPINet: Synchronous blood pressure estimation and user authentication based on ECG and PPG signal with multi-task learning
On alpha-divergence based nonnegative matrix factorization for clustering cancer gene expression data
Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16]
Structure discovery in medical databases: a conceptual clustering approach
Erratum to "Knowledge discovery and knowledge validation in intensive care"
Statistical parsing of varieties of clinical Finnish
Advanced soft computing diagnosis method for tumour grading
Walking path images from real-time location data predict degree of cognitive impairment
Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning
Prediction of acute hypertensive episodes in critically ill patients
Removing the assumption of conditional independence from Bayesian decision models by using artificial neural networks: some practical techniques and a case study
A case-based ensemble learning system for explainable breast cancer recurrence prediction
Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls
Bounded-depth threshold circuits for computer-assisted CT image classification
Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction
A report on medical expert systems research in Italy
Detecting rare events using extreme value statistics applied to epileptic convulsions in children
Towards a modular decision support system for radiomics: A case study on rectal cancer
Resolution of redundant semantic type assignments for organic chemicals in the UMLS
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction
A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening
A problem-solving method for 'unprotocolised' therapy administration task in medicine
Prolog by example. How to learn, teach and use it: Helder Coelho and José C. Cotta: Springer-Verlag, Berlin, 1988, X + 382 pp., 68 figures, Hard cover, DM 64.00
Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network
Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues
Automatic image and text-based description for colorectal polyps using BASIC classification
Translation and localization of SNOMED CT in China: A pilot study
Harmony search: Current studies and uses on healthcare systems
Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences
Enhancing diagnosis prediction with adaptive disease representation learning
A semi-supervised learning framework for biomedical event extraction based on hidden topics
Guaranteeing real-time response with limited resources
Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings
AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions
Anatomical sketch understanding: Recognizing explicit and implicit structure
Modifying an expert system construction to pattern recognition solution
An idiosyncratic MIMBO-NBRF based automated system for child birth mode prediction
Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand
A closed-loop hybrid physiological model relating to subjects under physical stress
Figure classification in biomedical literature to elucidate disease mechanisms, based on pathways
A formal approach to the analysis of clinical computer-interpretable guideline modeling languages
G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays
Artificial neural network assessment of substitutive pharmacological treatments in hospitalised intravenous drug users
Interpretable machine learning for time-to-event prediction in medicine and healthcare
The fuzzy polynucleotide space revisited
PMirP: A pre-microRNA prediction method based on structure-sequence hybrid features
The socio-organizational age of artificial intelligence in medicine
Machine learning and graph analytics in computational biomedicine
Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks
Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med. 54(2012) 125-134]
Medical resource allocation planning by integrating machine learning and optimization models
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status
Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation
Improving chest X-ray report generation by leveraging warm starting
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose
CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation
Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery
A generic approach for cell segmentation based on Gabor filtering and area-constrained ultimate erosion
Computerized natural medical language processing for knowledge representation : J.R. Scherrer, R.A. Côté, and S.H. Mandil (eds.): North-Holland, Amsterdam, 1989, xvi + 296 pp., US$84.25 / Dfl, 160.00
Guardian: A prototype intelligent agent for intensive-care monitoring
Medical knowledge embedding based on recursive neural network for multi-disease diagnosis
Using lexical disambiguation and named-entity recognition to improve spelling correction in the electronic patient record
Integration of quantitative and qualitative reasoning: an expert system for cardiosurgical patients
Steering through the murky waters of a scientific conflict: situated and symbolic models of clinical cognition
Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives
HMEA: A hierarchical medical knowledge graph entity alignment model fusing multi-aspect information
Uncovering the genetic basis of glioblastoma heterogeneity through multimodal analysis of whole slide images and RNA sequencing data
Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks
A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
Combining image, voice, and the patient's questionnaire data to categorize laryngeal disorders
Dependence between cognitive impairment and metabolic syndrome applied to a Brazilian elderly dataset
Consistency checking of binary categorical relationships in a medical knowledge base
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping
Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing
A novel method for predicting kidney stone type using ensemble learning
Co-occurrence graphs for word sense disambiguation in the biomedical domain
The readiness of SNOMED problem list concepts for meaningful use of electronic health records
Automated plaque classification using computed tomography angiography and Gabor transformations
AI in medicine on its way from knowledge-intensive to data-intensive systems
Coupling hypertext to an object-oriented environment
Fuzzy epidemics
Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology
MKS: An expert system shell for HIS environment
Learning ensemble classifiers for diabetic retinopathy assessment
A multi-agent system approach for monitoring the prescription of restricted use antibiotics
A formal theory for spatial representation and reasoning in biomedical ontologies
A deep learning approach for mitosis detection: Application in tumor proliferation prediction from whole slide images
M-HTP: A system for monitoring heart transplant patients
Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task
A computer-aided detection system for clustered microcalcifications
A general text mining method to extract echocardiography measurement results from echocardiography documents
Multiple disorder diagnosis with adaptive competitive neural networks
Real-time coronary artery segmentation in CAG images: A semi-supervised deep learning strategy
Neural networks for recognizing patterns in cardiotocograms
Merging multimedia presentations and semistructured temporal data: a graph-based model and its application to clinical information
Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers
DeepGA for automatically estimating fetal gestational age through ultrasound imaging
Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification
FDSR: A new fuzzy discriminative sparse representation method for medical image classification
Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms
Tracking leukocytes in intravital time lapse images using 3D cell association learning network
A few-shot disease diagnosis decision making model based on meta-learning for general practice
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study
Advances in fuzzy theory
Diagnostic efficiency of deep and surface knowledge in KARDIO
Health issue identification in social media based on multi-task hierarchical neural networks with topic attention
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks
Dynamic thresholding networks for schizophrenia diagnosis
Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak
Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT images
Using classification trees to assess low birth weight outcomes
Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model
A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images
Active subgroup mining: a case study in coronary heart disease risk group detection
Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review
Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component
RECOMED: A comprehensive pharmaceutical recommendation system
Prediction meets time series with gaps: User clusters with specific usage behavior patterns
Human movement onset detection from isometric force and torque measurements: A supervised pattern recognition approach
Predicting ICU readmission using grouped physiological and medication trends
Artificial intelligence in medicine workshop: AAAI 1992 Spring Symposium Series Stanford University March 25-27, 1992 Workshop Summary
An ischemia detection method based on artificial neural networks
Automation or augmentation? The impact of artificial intelligence's technological characteristics on usage intention in medical staff
Pre-operative ordering of minimally invasive surgical tools: A fuzzy inference system approach
Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization
Lung sounds classification using convolutional neural networks
Acknowledgements to our reviewers in 2023
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data
A dual-layer context-based architecture for the detection of anomalous instructions sent to medical devices
An automated cervical pre-cancerous diagnostic system
A temporal reasoning framework used in the diagnosis of skeletal dysplasias
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer
Impact of censoring on learning Bayesian networks in survival modelling
Supporting tools for guideline development and dissemination
An efficient and scalable deformable model for virtual reality-based medical applications
EAR-UNet: A deep learning-based approach for segmentation of tympanic membranes from otoscopic images
Towards productive Knowledge-Based Systems in clinical organizations: a methods perspective
HoRDA: Learning higher-order structure information for predicting RNA-disease associations
Application of multi-armed bandits to dose-finding clinical designs
A lexical metaschema for the UMLS semantic network
Temporal abstraction and temporal Bayesian networks in clinical domains: A survey
The feature selection bias problem in relation to high-dimensional gene data
Finding the biologically optimal alignment of multiple sequences
Deformable phrase level attention: A flexible approach for improving AI based medical coding
An expert system for diagnosis of acute myocardial infarction with ECG analysis
Learnable DoG convolutional filters for microcalcification detection
The use of a computerized brain atlas to support knowledge-based training in radiology
Predicting drug activity against cancer through genomic profiles and SMILES
An intelligent system for the diagnosis of complex images
TransFair: Transferring fairness from ocular disease classification to progression prediction
Modeling and optimization of combined cytostatic and cytotoxic cancer chemotherapy
Fair and equitable AI in biomedical research and healthcare: Social science perspectives
ContraDTI: Improved drug-target interaction prediction via multi-view contrastive learning
Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Automated emotion classification in the early stages of cortical processing: An MEG study
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles
Automatic recognition of biological shapes with and without representations of shape
Text mining and information analysis of health documents
Objects, contradictions and collaboration in medical cognition: an activity-theoretical perspective
Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation
Case-based reasoning in the health sciences: What's next?
Teaching medicine using hypertexts: three years of experience at the Ancona Medical School
NICeSim: An open-source simulator based on machine learning techniques to support medical research on prenatal and perinatal care decision making
A fuzzy approach to computer-assisted myocardial ischemia diagnosis
Editorial from the new Editor-in-Chief: Artificial Intelligence in Medicine and the forthcoming challenges
A novel approach for computerized quantitative image analysis of proximal femur bone shape deformities based on the hip joint symmetry
A monitoring framework for health care processes using Generalized Additive Models and Auto-Encoders
It's the data, stupid: Inflection point for Artificial Intelligence in Indian healthcare
FOETOS in clinical practice: A retrospective analysis of its performance
Automation of cytogenetics: Claes Lundsteen and Jim Piper (eds.), Springer, Berlin, 1989, Xvi + 316 pages, 103 figures, hard cover, DM 128.00
Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index
Lightweight fuzzy processes in clinical computing
Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis
Segmentation of corneal endothelium images using a U-Net-based convolutional neural network
Knowledge discovery and computer-based decision support in biomedicine
Qualitative models and fuzzy systems: an integrated approach for learning from data
Multi-feature representation for burn depth classification via burn images
Safe and Sound: Artificial Intelligence in Hazardous Applications - John Fox, Subrata Das, AAAI Press, Menlo Park, CA, and MIT Press, Cambridge, MA/London, UK, 2000, 326 pp., References, Index, Illus., ISBN 0-262-06211-9
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image
Breast cancer detection and classification in mammogram using a three-stage deep learning framework based on PAA algorithm
An ontology-based approach to enhance querying capabilities of general practice medicine for better management of hypertension
Foundations of logic programming: John Wylie Lloyd: Springer-Verlag, Berlin, 1987, XII + 212 pp., Hard cover, DM 88.00
High-quality triage and diagnosis of gynecological diseases via artificial intelligence
Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches
Customization in a unified framework for summarizing medical literature
Using dependency/association rules to find indications for computed tomography in a head trauma dataset
Improving deep-learning electrocardiogram classification with an effective coloring method
Comprehensive electrocardiographic diagnosis based on deep learning
A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease
Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images
An evaluation of heuristics for rule ranking
DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction
Feature selection and classification model construction on type 2 diabetic patients' data
Predicting time-to-intubation after critical care admission using machine learning and cured fraction information
Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection
A comprehensive survey of drug-target interaction analysis in allopathy and siddha medicine
Multi-task learning framework to predict the status of central venous catheter based on radiographs
Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
Antigenic: An improved prediction model of protective antigens
Hierarchically organized layout for visualization of biochemical pathways
MAPRS: An intelligent approach for post-prescription review based on multi-label learning
Types, functions, and mechanisms of machine learning for personalizing smoking cessation interventions: A systematic scoping review
The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications