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Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

28 January 2025
Mingyu Derek Ma
Xiaoxuan Wang
Yijia Xiao
Anthony Cuturrufo
Vijay S Nori
Eran Halperin
Wei Wang
    ELM
ArXiv (abs)PDFHTML

Papers citing "Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction"

35 / 35 papers shown
Title
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation
DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation
Zhihao Jia
Mingyi Jia
Junwen Duan
Jianxin Wang
36
0
0
24 May 2025
RuCCoD: Towards Automated ICD Coding in Russian
RuCCoD: Towards Automated ICD Coding in Russian
A. Nesterov
Andrey Sakhovskiy
Ivan Sviridov
Airat Valiev
Vladimir Makharev
Petr Anokhin
Galina Zubkova
E. Tutubalina
134
0
0
28 Feb 2025
CLIMB: A Benchmark of Clinical Bias in Large Language Models
CLIMB: A Benchmark of Clinical Bias in Large Language Models
Yubo Zhang
Shudi Hou
Mingyu Derek Ma
Wei Wang
Muhao Chen
Jieyu Zhao
ELM
65
4
0
07 Jul 2024
BioMistral: A Collection of Open-Source Pretrained Large Language Models
  for Medical Domains
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak
Adrien Bazoge
Emmanuel Morin
P. Gourraud
Mickael Rouvier
Richard Dufour
174
223
0
15 Feb 2024
Event-Based Contrastive Learning for Medical Time Series
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong
Nassim Oufattole
Matthew B. A. McDermott
Aparna Balagopalan
P. Chandak
Marzyeh Ghassemi
Collin M. Stultz
65
6
0
16 Dec 2023
Hierarchical Pretraining on Multimodal Electronic Health Records
Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang
Junyu Luo
Jiaqi Wang
Ziyi Yin
Suhan Cui
Yuan Zhong
Yaqing Wang
Fenglong Ma
83
7
0
11 Oct 2023
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for
  Hospitalized Patients
DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients
Hanyin Wang
Chufan Gao
Christopher Dantona
Bryan Hull
Jimeng Sun
LM&MA
56
70
0
22 Sep 2023
CPLLM: Clinical Prediction with Large Language Models
CPLLM: Clinical Prediction with Large Language Models
Ofir Ben Shoham
Nadav Rappoport
LM&MA
71
28
0
20 Sep 2023
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Michael Wornow
Rahul Thapa
E. Steinberg
Jason Alan Fries
N. Shah
VLMOODAI4MH
99
48
0
05 Jul 2023
A Transformer-based representation-learning model with unified
  processing of multimodal input for clinical diagnostics
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou
Yizhou Yu
Chengdi Wang
Shu Zhen Zhang
Yuanxu Gao
Jia Pan
Jun Shao
Guangming Lu
Kang Zhang
Weimin Li
MedIm
91
165
0
01 Jun 2023
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text
  Data Generation with Large Language Models
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models
Mingyu Derek Ma
Xiaoxu Wang
Po-Nien Kung
P. Brantingham
Nanyun Peng
Wei Wang
SyDa
75
5
0
24 May 2023
PMC-LLaMA: Towards Building Open-source Language Models for Medicine
PMC-LLaMA: Towards Building Open-source Language Models for Medicine
Chaoyi Wu
Weixiong Lin
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MAAI4MH
149
80
0
27 Apr 2023
ExBEHRT: Extended Transformer for Electronic Health Records to Predict
  Disease Subtypes & Progressions
ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions
M. Rupp
Oriane Peter
T. Pattipaka
49
11
0
22 Mar 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
E. Steinberg
Jason Alan Fries
Yizhe Xu
N. Shah
OODAI4TS
118
19
0
09 Jan 2023
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical
  Relation Extraction?
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Lyne Tchapmi
Mingyu Derek Ma
Muhao Chen
72
23
0
21 Dec 2022
DICE: Data-Efficient Clinical Event Extraction with Generative Models
DICE: Data-Efficient Clinical Event Extraction with Generative Models
Mingyu Derek Ma
Alex S. Taylor
Wei Wang
Nanyun Peng
MedIm
60
28
0
16 Aug 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLMALM
888
13,207
0
04 Mar 2022
Multimodal data matters: language model pre-training over structured and
  unstructured electronic health records
Multimodal data matters: language model pre-training over structured and unstructured electronic health records
Sicen Liu
Xiaolong Wang
Yongshuai Hou
Ge Li
Hui Wang
Huiqin Xu
Yang Xiang
Buzhou Tang
113
33
0
25 Jan 2022
Context-aware Health Event Prediction via Transition Functions on
  Dynamic Disease Graphs
Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Chang Lu
Tian Han
Yue Ning
75
43
0
09 Dec 2021
CEHR-BERT: Incorporating temporal information from structured EHR data
  to improve prediction tasks
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
Chao Pang
Xinzhuo Jiang
Krishna S. Kalluri
M. Spotnitz
Ruijun Chen
A. Perotte
Karthik Natarajan
OOD
44
65
0
10 Nov 2021
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
Mingyu Derek Ma
Muhao Chen
Te-Lin Wu
Nanyun Peng
80
26
0
22 Sep 2021
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in Healthcare
M. Morid
O. R. Sheng
Josef A. Dunbar
OODAI4TS
67
118
0
30 Aug 2021
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction
  of clinical events using multimodal longitudinal electronic health records
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li
M. Mamouei
G. Salimi-Khorshidi
Shishir Rao
A. Hassaine
D. Canoy
Thomas Lukasiewicz
K. Rahimi
82
81
0
21 Jun 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event
  Prediction in Healthcare
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu
Chandan K. Reddy
Prithwish Chakraborty
Samantha Kleinberg
Yue Ning
61
62
0
16 May 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
182
205
0
16 Feb 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
892
42,463
0
28 May 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MHLM&MA
99
696
0
22 May 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
495
20,342
0
23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
697
24,557
0
26 Jul 2019
Pre-training of Graph Augmented Transformers for Medication
  Recommendation
Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang
Tengfei Ma
Cao Xiao
Jimeng Sun
89
291
0
02 Jun 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,364
0
10 Jul 2018
Dipole: Diagnosis Prediction in Healthcare via Attention-based
  Bidirectional Recurrent Neural Networks
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks
Fenglong Ma
Radha Chitta
Jing Zhou
Quanzeng You
Tong Sun
Jing Gao
60
557
0
19 Jun 2017
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
97
677
0
21 Nov 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
123
1,249
0
19 Aug 2016
Deepr: A Convolutional Net for Medical Records
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen
T. Tran
N. Wickramasinghe
Svetha Venkatesh
MedIm
71
374
0
26 Jul 2016
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