yusuke1997/dblp-id-title huggingface dataset:
PROLOG. Grundlagen und anwendungen, zweite überarbeitete und erweiterte auflage: H. Kleine Büning and S. Schmitgen, (B.G. Teubner, Stuttgart, 1988) 311 pp., softcover, DM 38.00
The Asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines
Evaluation of a machine learning capability for a clinical decision support system to enhance antimicrobial stewardship programs
Overnight features of transcutaneous carbon dioxide measurement as predictors of metabolic status
Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction
Accessing complex patient data from Arden Syntax Medical Logic Modules
Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptation
Temporal diagnostic reasoning based on time-objects
Structure and significance of analogical reasoning
Identify and analysis crotonylation sites in histone by using support vector machines
Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics
DECAF: An interpretable deep cascading framework for ICU mortality prediction
Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection
A new virtual reality approach for planning of cardiac interventions
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning
Evaluation of rule effectiveness and positive predictive value of clinical rules in a Dutch clinical decision support system in daily hospital pharmacy practice
Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction
Foundations of neural networks : Tarun Khanna, (Addison-Wesley, Reading, MA, 1990) XII + 196 pp., numerous figures, softcover, price not listed
Graph-based association rule learning for context-based health monitoring to enable user-centered assistance
Synthesis of an anaesthetic agent administration system using fuzzy inductive reasoning
BCHisto-Net: Breast histopathological image classification by global and local feature aggregation
Modeling and solving the dynamic patient admission scheduling problem under uncertainty
Latent tree models and diagnosis in traditional Chinese medicine
Detection of ERBB2 and CEN17 signals in fluorescent in situ hybridization and dual in situ hybridization for guiding breast cancer HER2 target therapy
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain
Electronic Health Records-based identification of newly diagnosed Crohn's Disease cases
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription
Effective retrieval in Hospital Information Systems: the use of context in answering queries to Patient Discharge Summaries
Mitigating patient harm risks: A proposal of requirements for AI in healthcare
Intelligent monitoring and control of dynamic physiological systems
Process mining for healthcare decision analytics with micro-costing estimations
A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images
Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications
Sparse deconvolution of higher order tensor for fiber orientation distribution estimation
Application of deep learning algorithms in automatic sonographic localization and segmentation of the median nerve: A systematic review and meta-analysis
Fuzzy cluster analysis of high-field functional MRI data
An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification
Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritis
Outline of an expert system for ECG diagnosis using fuzzy sets
Methods for algorithmic diagnosis of metabolic syndrome
The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal
A methodology for partitioning a vocabulary hierarchy into trees
Integration of gene signatures using biological knowledge
Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing
Machine over mind
isGPT: An optimized model to identify sub-Golgi protein types using SVM and Random Forest based feature selection
On using feedforward neural networks for clinical diagnostic tasks
Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach
Control theory as a conceptual framework for intensive care monitoring
A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics
Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision
Protein-protein interaction identification using a hybrid model
Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study
Elie Sanchez, 1944-2014
The role of essential explanation in abduction
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction
Multi-pathology detection and lesion localization in WCE videos by using the instance segmentation approach
A novel model for evaluation Hospital medical care systems based on plithogenic sets
Pediatric decision support using adapted Arden Syntax
Enhancing dynamic ECG heartbeat classification with lightweight transformer model
A robust protein language model for SARS-CoV-2 protein-protein interaction network prediction
Leucocyte classification for leukaemia detection using image processing techniques
A characterization of electrocardiogram signals through optimal allocation of information granularity
Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression
Nutri-Educ, a nutrition software application for balancing meals, using fuzzy arithmetic and heuristic search algorithms
Situated clinical cognition
A study of PROforma, a development methodology for clinical procedures
Towards computer-assisted maintenance of medical knowledge bases
A combined neural network and decision trees model for prognosis of breast cancer relapse
Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Acoustical features as knee health biomarkers: A critical analysis
Fuzzy model identification of dengue epidemic in Colombia based on multiresolution analysis
Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models
NEUREX: a tutorial expert system for the diagnosis of neurogenic diseases of the lower limbs
A multi-approaches-guided genetic algorithm with application to operon prediction
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Spatio-temporal mixture process estimation to detect dynamical changes in population
Operation room tool handling and miscommunication scenarios: An object-process methodology conceptual model
Temporal abstraction and inductive logic programming for arrhythmia recognition from electrocardiograms
Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control
Mixture-attention Siamese transformer for video polyp segmentation
Flexible guideline-based patient careflow systems
Mixed-integer optimization approach to learning association rules for unplanned ICU transfer
Adapted variable precision rough set approach for EEG analysis
Description logic-based methods for auditing frame-based medical terminological systems
A model of motor control of the nematode C. elegans with neuronal circuits
Using classification techniques for statistical analysis of Anemia
A quantifier-based fuzzy classification system for breast cancer patients
Incorporated region detection and classification using deep convolutional networks for bone age assessment
Erratum to "Fundamentals of clinical methodology: 3. Nosology"
Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review
Uncertainty and intelligent systems: B. Bouchon, L. Saitta and R.R. Yager (eds.), Springer, Berlin, 1988. Viii + 408 pages, soft cover, DM 55.00
Non invasive classification system of scoliosis curve types using least-squares support vector machines
Fuzzy pre-processing of gold standards as applied to biomedical spectra classification
Stability problems with artificial neural networks and the ensemble solution
A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images
A preclustering-based ensemble learning technique for acute appendicitis diagnoses
A multi-stage machine learning model for diagnosis of esophageal manometry
Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores
Biomedical events extraction using the hidden vector state model
Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care
Syntactic-semantic tagging as a mediator between linguistic representations and formal models: an exercise in linking SNOMED to GALEN
AI-based methods for diagnosing and grading diabetic retinopathy: A comprehensive review
A review on segmentation of knee articular cartilage: from conventional methods towards deep learning
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part I. Classification of depth of anaesthesia and development of a patient model
Preface: AIME 2019
Diagnosis knowledge constrained network based on first-order logic for syndrome differentiation
Intelligent decision support systems for dementia care: A scoping review
Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism
Intelligent healthcare informatics in big data era
Aspect-based sentiment analysis with graph convolution over syntactic dependencies
Mapping the brain: AI-driven radiomic approaches to mental disorders
Med7: A transferable clinical natural language processing model for electronic health records
Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction
A functional model of some Parkinson's Disease symptoms using a Guided Propagation Network
Knowledge-discovery incorporated evolutionary search for microcalcification detection in breast cancer diagnosis
SSLDTI: A novel method for drug-target interaction prediction based on self-supervised learning
Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering
Pathologic liver tumor detection using feature aligned multi-scale convolutional network
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Case-based retrieval to support the treatment of end stage renal failure patients
An object-oriented design for automated navigation of semantic networks inside a medical data dictionary
Fuzzy logic for model adaptation of a pharmacokinetic-based closed loop delivery system for pancuronium
Estimation of echocardiogram parameters with the aid of impedance cardiography and artificial neural networks
A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis
Change-point detection method for clinical decision support system rule monitoring
A predictive framework in healthcare: Case study on cardiac arrest prediction
Sequential decision tree using the analytic hierarchy process for decision support in rectal cancer
Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms
Automated peripancreatic vessel segmentation and labeling based on iterative trunk growth and weakly supervised mechanism
Smart wearable systems: Current status and future challenges
A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy
An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem
Mining multi-electrode and multi-wave electroencephalogram based time-interval temporal patterns for improved classification capabilities and explainability
Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications
Finding neural correlates of depersonalisation/derealisation disorder via explainable CNN-based analysis guided by clinical assessment scores
CircWaveDL: Modeling of optical coherence tomography images based on a new supervised tensor-based dictionary learning for classification of macular abnormalities
Towards the ontological foundations of symbolic biological theories
CARSVM: A class association rule-based classification framework and its application to gene expression data
Evolutionary weighting of image features for diagnosing of CNS tumors
Dynamic force feedback in a virtual knee palpation
On the co-operation between abductive and temporal reasoning in medical diagnosis
Automatic analysis of signals with symbolic content
A neural network approach to the outcome definition on first treatment with sertraline in a psychiatric population
Multilevel Bayesian network to model child morbidity using Gibbs sampling
Identification of the phase code in an EEG during gripping-force tasks: A possible alternative approach to the development of the brain-computer interfaces
A model-driven transformation approach for the modelling of processes in clinical practice guidelines
Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach
Preface: AIME 2017
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection
Real-world data medical knowledge graph: construction and applications
Deep and shallow models in medical expert systems
Hybrid knowledge-based systems for therapy planning
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images
Toward interactive scheduling systems for managing medical resources
Prediction of radiological decision errors from longitudinal analysis of gaze and image features
LSSF-Net: Lightweight segmentation with self-awareness, spatial attention, and focal modulation
IdenBAT: Disentangled representation learning for identity-preserved brain age transformation
Uniqueness of medical data mining
Predicting the impact of hospital health information technology adoption on patient satisfaction
Representing and querying now-relative relational medical data
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
Modeling new immunoregulatory therapeutics as antimicrobial alternatives for treating Clostridium difficile infection
Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation
MOPET: A context-aware and user-adaptive wearable system for fitness training
Deep learning with multiresolution handcrafted features for brain MRI segmentation
Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients
Bayesian network multi-classifiers for protein secondary structure prediction
Information extraction and summarization from medical documents
Feature-weighted survival learning machine for COPD failure prediction
Agent-based approaches for biological modeling in oncology: A literature review
Diffusion tensor estimation with transformer neural networks
Transformers and large language models in healthcare: A review
Coding of amino acids by texture descriptors
NPB-REC: A non-parametric Bayesian deep-learning approach for undersampled MRI reconstruction with uncertainty estimation
Noise-tolerant electrocardiogram beat classification based on higher order statistics of subband components
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review
A decision support system to facilitate management of patients with acute gastrointestinal bleeding
Grouping attributes zero-shot learning for tongue constitution recognition
Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks
Physicians' responses to clinical decision support on an intensive care unit - Comparison of four different alerting methods
Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models
Deep learning for Alzheimer's disease diagnosis: A survey
Predictions of coronary artery stenosis by artificial neural network
An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Using probabilistic and decision-theoretic methods in treatment and prognosis modeling
Predicting liver cancers using skewed epidemiological data
Evaluation of a knowledge-based decision-support system for ventilator therapy management
An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning
Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models
Personalized prediction of drug efficacy for diabetes treatment via patient-level sequential modeling with neural networks
A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions
Integrated analysis of differential intra-chromosomal community interactions: A study of breast cancer
From vagueness in medical thought to the foundations of fuzzy reasoning in medical diagnosis
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury
VIA-RAD: a blackboard-based system for diagnostic radiology. Visual Interaction Assistant for Radiology
Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation
Functional Networks with Applications. A Neural-Based Paradigm, by E. Castillo, A. Cobo, J. M. Gutiérrez and R. E. Pruneda, Kluwer, 1998, ISBN 0-7923-8332-X
A constraint logic programming framework for constructing DNA restriction maps
Detecting conserved coding genomic regions through signal processing of nucleotide substitution patterns
Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers
AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L 1/2 -regularization method
Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer
Difficulty-aware coupled contour regression network with IoU loss for efficient IVUS delineation
Latent variable discovery in classification models
A labeled ophthalmic ultrasound dataset with medical report generation based on cross-modal deep learning
Guideline-based careflow systems
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
A distance measure between intuitionistic fuzzy sets and its application in medical diagnosis
Weakly-supervised ultrasound image segmentation with elliptical shape prior constraint
Explanatory argument extraction of correct answers in resident medical exams
Formal description of disease courses
Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty
A human-interpretable machine learning pipeline based on ultrasound to support leiomyosarcoma diagnosis
Domain generalization for enhanced predictions of hospital readmission on unseen domains among patients with diabetes
All-cause mortality prediction in T2D patients with iTirps
Artificial-intelligence-augmented systems (Editorial)
Online continuous learning of users suicidal risk on social media
Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks
Integrative data mining in systems biology: from text to network mining
Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy
Background knowledge in diagnosis
Automated monitoring of medical protocols: a secure and distributed architecture
Application of the fuzzy ART/MAP and MinMax/MAP neural network models to radiographic image classification
Neuromodulatory control of hippocampal function: towards a model of Alzheimer's disease
Developing healthcare language model embedding spaces
Computing the confidence in a medical decision obtained from an influence diagram
Assigning diagnosis codes using medication history
Do physicians value decision support? A look at the effect of decision support systems on physician opinion
LCDL: Classification of ICD codes based on disease label co-occurrence dependency and LongFormer with medical knowledge
Artificial consciousness: A discipline between technological and theoretical obstacles
Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection
Knowledge acquisition for multi-channel electroencephalogram interpretation
An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals
Planning treatment of ischemic heart disease with partially observable Markov decision processes
Semantic conditioning of salivary pH for communication
Your turn: At home turning angle estimation for Parkinson's disease severity assessment
Gene2DisCo: Gene to disease using disease commonalities
SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment
Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis
Multivariate selection of genetic markers in diagnostic classification
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Tuning of myoelectric prostheses using fuzzy logic
Zero- and few-shot Named Entity Recognition and Text Expansion in medication prescriptions using large language models
Generating recipient-centered explanations about drug prescription
Decision support in heart failure through processing of electro- and echocardiograms
Integrated decision support in a hospital cancer registry
Argumentation-logic for creating and explaining medical hypotheses
Never tell me the odds: Investigating pro-hoc explanations in medical decision making
A novel memory interaction neural network for multi-label drug-drug interaction prediction with neighbor importance sampling
Two-step interpretable modeling of ICU-AIs
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection
Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways
Investigating the enhancement of template-free activation detection of event-related fMRI data using wavelet shrinkage and figures of merit