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Machine learning based disease diagnosis: A comprehensive review

Machine learning based disease diagnosis: A comprehensive review

31 December 2021
M. Ahsan
Zahed Siddique
ArXivPDFHTML

Papers citing "Machine learning based disease diagnosis: A comprehensive review"

23 / 23 papers shown
Title
A brain-inspired generative model for EEG-based cognitive state identification
A brain-inspired generative model for EEG-based cognitive state identification
Bin Hu
Z. Guan
44
0
0
03 May 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Jiani Ni
He Zhao
Jintong Gao
Dandan Guo
H. Zha
36
0
0
14 Apr 2025
ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis
ProAI: Proactive Multi-Agent Conversational AI with Structured Knowledge Base for Psychiatric Diagnosis
Y. Wu
Guangya Wan
Jingjing Li
Shengming Zhao
Lingfeng Ma
Tianyi Ye
Ion Pop
Yuhang Zhang
Jie Chen
AI4MH
38
0
0
28 Feb 2025
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated
  Distributed Adaptive Penetration Testing
ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing
Haozhe Lei
Yunfei Ge
Quanyan Zhu
AAML
28
0
0
31 Oct 2024
Mechanism learning: Reverse causal inference in the presence of multiple
  unknown confounding through front-door causal bootstrapping
Mechanism learning: Reverse causal inference in the presence of multiple unknown confounding through front-door causal bootstrapping
Jianqiao Mao
Max A. Little
CML
23
0
0
26 Oct 2024
Prediction and Detection of Terminal Diseases Using Internet of Medical
  Things: A Review
Prediction and Detection of Terminal Diseases Using Internet of Medical Things: A Review
Akeem Temitope Otapo
Alice Othmani
G. Khodabandelou
Zuheng Ming
16
2
0
22 Sep 2024
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks:
  Evaluating the Effectiveness of Different Techniques
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
Srivishnu Vusirikala
Suraj Rajendran
SSL
19
0
0
19 Jul 2024
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
40
5
0
22 May 2024
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
Edward Y. Chang
44
0
0
20 May 2024
An Information Theoretic Perspective on Conformal Prediction
An Information Theoretic Perspective on Conformal Prediction
Alvaro H.C. Correia
F. V. Massoli
Christos Louizos
Arash Behboodi
36
3
0
03 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated
  Neural Networks
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn
Pablo Olmos
32
1
0
02 May 2024
Integration of Federated Learning and Blockchain in Healthcare: A
  Tutorial
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari
O. A. Dambri
Yaser Baseri
A. Hafid
Dimitrios Makrakis
OOD
54
2
0
15 Apr 2024
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large
  Language Models with Machine Learning in tele-dermatology
Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
Dimitrios P. Panagoulias
Evridiki Tsoureli-Nikita
M. Virvou
G. Tsihrintzis
28
3
0
21 Mar 2024
PAC-Bayes Generalization Certificates for Learned Inductive Conformal
  Prediction
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma
Sushant Veer
Asher Hancock
Heng Yang
Marco Pavone
Anirudha Majumdar
47
8
0
07 Dec 2023
Contrastive Learning as Kernel Approximation
Contrastive Learning as Kernel Approximation
Konstantinos Christopher Tsiolis
SSL
18
0
0
06 Sep 2023
Invariant Scattering Transform for Medical Imaging
Invariant Scattering Transform for Medical Imaging
M. Ahsan
S. Raman
Zahed Siddique
OOD
24
2
0
20 Apr 2023
Transfer learning and Local interpretable model agnostic based visual
  approach in Monkeypox Disease Detection and Classification: A Deep Learning
  insights
Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights
M. Ahsan
Tareque Abu Abdullah
Md. Shahin Ali
Fatema Jahora
Md. Khairul Islam
Amin G. Alhashim
Kishor Datta Gupta
24
9
0
01 Nov 2022
Imbalanced Class Data Performance Evaluation and Improvement using Novel
  Generative Adversarial Network-based Approach: SSG and GBO
Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO
M. Ahsan
Md. Shahin Ali
Zahed Siddique
16
3
0
23 Oct 2022
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
M. Ahsan
Zahed Siddique
24
4
0
08 Jan 2022
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose
  COVID-19 in X-Ray Images
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
E. E. Hemdan
M. Shouman
Mohamed E. Karar
86
1,013
0
24 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images
  and Deep Convolutional Neural Networks
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
80
1,762
0
24 Mar 2020
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN
S. Esmaeilzadeh
Yao Yang
Ehsan Adeli
MedIm
8
46
0
13 Jun 2018
Deep convolutional neural networks for segmenting 3D in vivo multiphoton
  images of vasculature in Alzheimer disease mouse models
Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
Mohammad Haft-Javaherian
Linjing Fang
V. Muse
C. Schaffer
N. Nishimura
M. Sabuncu
39
72
0
03 Jan 2018
1