21 | 이시은 | TopicSem |
02 | 이시은 | TopicSem | ||
19 | 이시은 | Quantum-computing-enhanced algorithm unveils potential KRAS inhibitors | ![]() |
J.Club |
23 | 이시은 | TopicSem |
05 | 이시은 | .Defining the distance between diseases using SNOMED CT embeddings (replication) | TopicSem |
12 | 이시은 | CKD analysis | TopicSem |
18 | 이시은 | Erythropoiesis-stimulating agent hyporesponsiveness was associated with worse survival of hemodialysis patients independent of the serum ferritin level | ![]() |
J.Club |
20 | 이시은 | TopicSem |
09 | 이시은 | Creating a biomedical knowledge base by addressing GPT inaccurate responses and benchmarking context | ![]() |
J.Club |
14 | 이시은 | CKD ERI alaysis | TopicSem |
07 | 이시은 | CKD variant Analysis | TopicSem | |
28 | 이시은 | CKD variant Analysis | TopicSem |
09 | 이시은 | EPO resistance Index analysis in CKD patients | TopicSem | |
28 | 이시은 | PCEtoFHIR: Decomposition of Postcoordinated SNOMED CT Expressions for Storage as HL7 FHIR Resources | ![]() |
J.Club |
01 | 이시은 | TopicSem | ||
22 | 이시은 | CKD variant analysis | TopicSem |
08 | 이시은 | Predicting lung cancer survival prognosis based on the conditional survival bayesian network | ![]() |
J.Club |
10 | 이시은 | ȣƮ ó | TopicSem |
13 | 이시은 | ȣƮ | TopicSem |
18 | 이시은 | Mimic to OMOP CDM | TopicSem | |
27 | 이시은 | Association between glycemic variability and shor | ![]() |
J.Club |
07 | 이시은 | Figures of KryptoBrain thesis | TopicSem | |
23 | 이시은 | Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model | ![]() |
J.Club |
28 | 이시은 | MIMIC-IV to OMOP CDM | TopicSem |
03 | 이시은 | Federated Medical Learning Framework Based on Blockchain and Homomorphic Encryption | ![]() |
J.Club |
15 | 이시은 | KryptoBrain concepts | TopicSem |
15 | 이시은 | G-CDM : genomic information to current OMOP-CDM | SysBiol | |
22 | 이시은 | CryptoBrain Concepts | TopicSem |
16 | 이시은 | DNA language models are powerful predictors of genome-wide variant effects | ![]() |
J.Club |
28 | 이시은 | CKD cohort variant analysis | TopicSem |
07 | 이시은 | Novel loci for Alzheimers disease identified by a genome-wide association study in Ashkenazi Jews | ![]() |
J.Club |
16 | 이시은 | TopicSem |
14 | 이시은 | Defining the distance between diseases using SNOMED CT embeddings(Replication) | TopicSem |
24 | 이시은 | (replication) Defining the distance between diseases using SNOMED-CT embeddings | TopicSem |
05 | 이시은 | CKD Variants Analysis | TopicSem | |
24 | 이시은 | Defining the distance between diseases using SNOMED CT embeddings | ![]() |
J.Club |
29 | 이시은 | Defining the distance between diseases using SNOMED CT embeddings | TopicSem |
08 | 이시은 | CKD Patients Variants Analysis | TopicSem | |
20 | 이시은 | The Effect of Genotyping on the Number of Pharmacotherapeutic Gene–Drug Interventions in Chronic Kidney Disease Patients | ![]() |
J.Club |
01 | 이시은 | Novel Genetic Variants Associated with Chronic Kidney Disease Progression | ![]() |
J.Club |
13 | 이시은 | CKD,NSAID,PPI and Comparison with the Control | TopicSem |
20 | 이시은 | Comparison of genotypes between CKD patients and the Control | TopicSem |
09 | 이시은 | Distribution Graph of CKD Patients Genotypes | TopicSem | |
25 | 이시은 | Impact of SGLT2 inhibitors on old age patients with heart failure and chronic kidney disease | ![]() |
J.Club |
09 | 이시은 | Chronic Kidney Disease and DialysisNet | TopicSem |
15 | 이시은 | Natural Language Processing in Clinical Data | TopicSem | |
31 | 이시은 | A pre-trained BERT for Korean medical natural language processing | ![]() |
J.Club |
07 | 이시은 | Intro to Natural Language Processing in Clinical Data | TopicSem | |
19 | 이시은 | Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing | ![]() |
J.Club |
06 | 이시은 | Natural Language Processing in clinical data | TopicSem |
05 | 이시은 | Information Retrieval and medical ontology NLP | TopicSem | |
17 | 이시은 | Deep learning-based NLP data pipeline for EHR-scanned document information extraction | ![]() |
J.Club |
30 | 이시은 | LSTM for gait recognition using OU-ISIR gait dataset | TopicSem |
26 | 이시은 | Time series analysis of Gait data | TopicSem |
05 | 이시은 | ECG‑based machine‑learning algorithms for heartbeat classification | ![]() |
J.Club |
10 | 이시은 | ECG anomaly detection using LSTM | TopicSem |
14 | 이시은 | TopicSem |
16 | 이시은 | Gait Signal Data Processing | TopicSem |
13 | 이시은 | Research on intelligent medical big data system based on Hadoop and blockchain | ![]() |
J.Club |
25 | 이시은 | GDF and Time Series Data | TopicSem |
18 | 이시은 | Ontology and Heterogeneous Lifelong Mining | TopicSem |
04 | 이시은 | Deep-learning-based automated terminology mapping in OMOP-CDM | ![]() |
J.Club |
09 | 이시은 | Analysis of brain cognitive function using fNIRS | TopicSem | |
29 | 이시은 | BIg Query Architecture | BioEMR |
05 | 이시은 | Lung Segmentation of Health BigData Showcase images using U-Net | TopicSem |
03 | 이시은 | A Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities | ![]() |
J.Club |
14 | 이시은 | Introduction to MIMIC dataset | BioEMR |
02 | 이시은 | FHIR and blockchain | BioEMR | |
21 | 이시은 | Lifelog Data Collection with Shoe Insole and Data Integration | TopicSem |
01 | 이시은 | An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks | ![]() |
J.Club |
20 | 이시은 | Healthcare Network Services and PGHD DB Building | TopicSem |
15 | 이시은 | PGHD file format transformation into GDF format | ![]() |
TopicSem |