457 citations · 470 across the 8 of their papers we have counts for
8 papers
CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
Oriel Perets, Ofir Ben Shoham, Nir Grinberg +1
Medical benchmark datasets significantly contribute to developing Large Language Models (LLMs) for medical knowledge extraction, diagnosis, summarization, and other uses. Yet, curr…
MedConceptsQA: Open Source Medical Concepts QA Benchmark
Ofir Ben Shoham, Nadav Rappoport
We present MedConceptsQA, a dedicated open source benchmark for medical concepts question answering. The benchmark comprises of questions of various medical concepts across differe…
DSF-GAN: DownStream Feedback Generative Adversarial Network
Oriel Perets, Nadav Rappoport
Utility and privacy are two crucial measurements of the quality of synthetic tabular data. While significant advancements have been made in privacy measures, generating synthetic s…
Surgery duration prediction using multi-task feature selection
David Azriel, Yosef Rinott, Orna Tal +2
Efficient optimization of operating room (OR) activity poses a significant challenge for hospital managers due to the complex and risky nature of the environment. The traditional "…
CPLLM: Clinical Prediction with Large Language Models
Ofir Ben Shoham, Nadav Rappoport
We present Clinical Prediction with Large Language Models (CPLLM), a method that involves fine-tuning a pre-trained Large Language Model (LLM) for clinical disease and readmission…
Federated Learning of Medical Concepts Embedding using BEHRT
Ofir Ben Shoham, Nadav Rappoport
Electronic Health Records (EHR) data contains medical records such as diagnoses, medications, procedures, and treatments of patients. This data is often considered sensitive medica…
Subpopulation-Specific Synthetic EHR for Better Mortality Prediction
Oriel Perets, Nadav Rappoport
Electronic health records (EHR) often contain different rates of representation of certain subpopulations (SP). Factors like patient demographics, clinical condition prevalence, an…
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…