Artificial neural networks in medical diagnosis

Artificial neural networks: fundamentals, computing, design, and application

Basheer, I. A., & Hajmeer, M. N. (2000) · Journal of Microbiological Methods · doi:10.1016/s0167-7012(00)00201-3 · Cited by 3,316

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Mazurowski, M. A., Habas, P. A., Zurada, J. M., Lo, J. Y.-C., Baker, J. A., & Tourassi, G. D. (2007) · Neural Networks · doi:10.1016/j.neunet.2007.12.031 · Cited by 797

Neural networks in chemistry and drug design

Zupan, J., & Gasteiger, J. (1999) · Medical Entomology and Zoology · Cited by 718

An introduction to neural computing

(1990) · Biological Psychology · doi:10.1016/0301-0511(90)90019-s · Cited by 621

Artificial Neural Networks

Kubát, M. (2017) · Springer eBooks · doi:10.1007/978-3-319-63913-0_5 · Cited by 379

Artificial Intelligence in Medical Diagnosis

Szolovits, P., Patil, R. S., & Schwartz, W. B. (1988) · Annals of Internal Medicine · doi:10.7326/0003-4819-108-1-80 · Cited by 285

Feature selection with neural networks

Verikas, A., & Bačauskienė, M. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00081-8 · Cited by 253

Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra

Tate, A. R., Underwood, J., Acosta, D., Julià‐Sapé, M., Majós, C., Moreno‐Torres, À., Howe, F. A., van der Graaf, M., Lefournier, V., Murphy, M. M., et al. (2006) · NMR in Biomedicine · doi:10.1002/nbm.1016 · Cited by 227

Artificial neural networks for diagnosis and survival prediction in colon cancer

Ahmed, F. (2005) · Molecular Cancer · doi:10.1186/1476-4598-4-29 · Cited by 223

Segmentation of multiple sclerosis lesions in MR images: a review

Mortazavi, D., Kouzani, A. Z., & Hamid Soltanian-zadeh, A. (2011) · Neuroradiology · doi:10.1007/s00234-011-0886-7 · Cited by 146

Exploring the advantages of artificial neural networks in predicting children's thermal perception and their potential application

He, X., Nice, K. A., Tang, Y., & Shao, L. (2025) · Urban Climate · doi:10.1016/j.uclim.2025.102378 · Cited by 1

Robust ventricular segmentation in cardiac MRI via fused attention and capsule networks

Ye, Y., Zeng, T., Chipusu, K., Ding, B., Huang, Y., Guo, J., & Huang, J. (2026) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt-2026-0015 · Cited by 1

Medical Diagnosis Classification Using Migration Based Differential Evolution Algorithm

Thein, H. T. T., & Tun, K. M. M. (2014) · doi:10.5121/csit.2014.41313 · Cited by 1

Applicability of Artificial Neural Networks to Squat Prediction of Very Large and Ultra Large Container Vessels Based on Measurements on the Elbe Estuary

Reiter, B., Albers, T., Treuel, F., & Jansch, H. (2016) · Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau) · doi:10.18451/978-3-939230-38-0_18 · Cited by 1

Modelling Diabetes Mellitus among Adult Kenyan Population Using Artificial Neural Network

Ng’ang’a, P., Gichuhi, A. W., Wanjoya, A. K., & Mageto, T. (2018) · American Journal of Applied Mathematics and Statistics · doi:10.12691/ajams-6-5-3 · Cited by 1

A Survey on Big Data in Medical and Healthcare with a Review of the State in Bosnia and Herzegovina

Neric, V., Konjić, T., Sarajlić, N., & Hodzic, N. (2018) · Lecture notes in networks and systems · doi:10.1007/978-3-030-02577-9_49 · Cited by 1

Comparison of edge detectors for urinary bladder cancer diagnostic

Lorencin, I., Barišić, B., Anđelić, N., Španjol, J., & Car, Z. (2019) · Cited by 1

Rethinking Medical Ethics: Artificial Intelligence and Healthcare – Confronting

Verma, R. (2019) · Global Bioethics Enquiry Journal · doi:10.38020/gbe.7.2.2019.94-96 · Cited by 1

A Diagnosis Support System for Veterinary Necropsy based on Bayesian Networks

Sicard, V., Assié, S., Dorso, L., Chocteau, F., & Picault, S. (2021) · International Conference on Agents and Artificial Intelligence (ICAART) · doi:10.5220/0010223106450654 · Cited by 1

An Application of a Method of Weighting Assigning for Attributes Based on the Level of Different Body Structures to Improve the Artificial Neural Network for Diagnosing Hepatitis

Nghia, H. L., Truong, C., Quang, D. V., Thu, X., & Ngoc, L. A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2094-2_48 · Cited by 1

An overview of the various medical devices for diagnosis, monitoring, and treatment of diseases

Srivastava, Y., Virk, S., Hazra, S., & Ganguli, S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85172-5.00014-9 · Cited by 1

This Disease Scares Me! Influences on Adoption of Mobile Health Applications by Seniors

Haug, M., Schroeder, T., Gewald, H., & Burth, L. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96293-7_14 · Cited by 1

Modelos computacionales en la posturografía

Luengas-Contreras, L. A., & Silva, L. F. W. (2022) · Tecnura · doi:10.14483/22487638.18060 · Cited by 1

Tuberculosis Prediction by Machine Learning Techniques

Godiyal, K., & Pokhriyal, S. (2022) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v10i1s.5797 · Cited by 1

Review and Analysis of Disease Diagnostic Models Using AI and ML

Pandey, U., Shakya, T., Rajput, M., Singh, R., & Mangal, T. (2023) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-6957-6.ch003 · Cited by 1

Development and Validation of a Machine Learning System for Analysis and Radiological Diagnosis of Digital Chest X-ray Images

Khanom, M., Iqbal, A., Hoque, A., Jeenia, F. T., & Uddin, M. (2023) · Journal of Medicine · doi:10.3329/jom.v24i2.67273 · Cited by 1

Urinary Tract Infection Analysis using Machine Learning based Classification and ANN- A Study of Prediction

Anisha, A., Sabharwal, M., & Tripathi, R. (2023) · International Journal on Recent and Innovation Trends in Computing and Communication · doi:10.17762/ijritcc.v11i7s.6989 · Cited by 1

Computational Paradigms for Heart Arrhythmia Detection: Leveraging Neural Networks

Demčáková, K., Vaľko, D., & Ádám, N. (2024) · IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI) · doi:10.1109/sami60510.2024.10432860 · Cited by 1

Classification EEG Signal Using Texture Analysis and Artificial Neural Network for Alcoholic Detection

Beu, D. S., Simatupang, H. H., Rizal, A., Purnamasari, R., & Fuadah, Y. N. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-1463-6_4 · Cited by 1

FUZZY MODEL FOR INTELLECTUALIZING MEDICAL KNOWLEDGE

Malyar, M. M., Malyar-Gazda, N., & Sharkadi, M. (2024) · Radio Electronics Computer Science Control · doi:10.15588/1607-3274-2024-2-7 · Cited by 1

Chronic Kidney Disease Classification Using Entropy Based Butterfly Optimization and Improved Artificial Neural Network Algorithm: Preprocessing, Feature Selection, Clustering, and Disease Prediction

Jacquline, M. L., & Sudha, N. (2024) · Journal of Angiotherapy · doi:10.25163/angiotherapy.869606 · Cited by 1

A Comprehensive Study of Image Re-ranking Methods in Visual and Semantic Features

Saravanakumar, S., Jayakumar, S. K. V., & Balavikneshwaran, A. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-2550-2_40 · Cited by 1

Enhanced Immunohistochemistry Interpretation with a Machine Learning-Based Expert System

Neagu, A., Poalelungi, D. G., Fulga, A., Neagu, M., Fulga, I., & Nechita, A. (2024) · Diagnostics · doi:10.3390/diagnostics14171853 · Cited by 1

Tuning Prediction Model Performance using Neural Network Algorithm Learning Parameters

Toribio, D. M. B., Pascual, R. Y., & Ilao, A. L. (2024) · International Conference on ICT and Knowledge Engineering · doi:10.1109/ictke62841.2024.10787197 · Cited by 1

Training Neural Networks with a Procedure Guided by BNF Grammars

Tsoulos, I. G., & Charilogis, V. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9010005 · Cited by 1

Quantitative Image Sensing of Tuberculosis Biomarkers Using Rapid Diagnostic Test Kit

Das, S., Shrivas, A., Soni, P., Gupta, A. K., Singh, S., & Bhattacharjee, M. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3523750 · Cited by 1

Methodology for Building Fuzzy Knowledge Bases to Support Medical Decisions

Sharkadi, M., Malyar-Gazda, N., & Маляр, М. М. (2025) · International Journal of Computing · doi:10.47839/ijc.24.2.4019 · Cited by 1

Optimization of Malaria Diagnosis by Machine Learning According to the CRISP-DM Model Applied to the University Teaching Hospital Clinics of Lubumbashi (DRC)

Mazunze, B., Vicky, L. M., Franck, K. N., Pierre-Stéphane, M. M., Patrice, K. M. E., Desiré, K. D., & Eddy, M. S. (2025) · OALib · doi:10.4236/oalib.1114143 · Cited by 1

An optimized MLP model to diagnosis the bipolar disorder

Ghasemi, M. M., & Khalili, M. (2015) · Journal of Advanced Computer Science & Technology · doi:10.14419/jacst.v4i1.4038 · Cited by 1

Evolutionary single hidden-layer feed forward networks

Safi, Y., & Bouroumi, A. (2014) · International Journal of Innovative Computing and Applications · doi:10.1504/ijica.2014.066497 · Cited by 1

Diabetic deduction through non-parametric analysis

Thangarasu, G., & Dominic, P. D. D. (2015) · International Journal of Business Information Systems · doi:10.1504/ijbis.2015.072252 · Cited by 1

Neural network classifier for glaucoma diagnosis

Vlad, S., Demea, S., Demea, H., & Holonec, R. (2015) · E-Health and Bioengineering Conference (EHB) · doi:10.1109/ehb.2015.7391596 · Cited by 1

Athena: Uma Ferramenta Visual para Auxiliar o Ensino da Inteligência Computacional

Braga, R., Oliveira, P., Souza, M., Neto, P. S., Britto, R., & Rabêlo, R. A. L. (2016) · Anais do ... Simpósio Brasileiro de Informática na Educação/Anais do Simpósio Brasileiro de Informática na Educação · doi:10.5753/cbie.sbie.2016.1046 · Cited by 1

Quickprop method to speed up learning process of Artificial Neural Network in money’s nominal value recognition case

Swastika, W. (2017) · AIP conference proceedings · doi:10.1063/1.4978991 · Cited by 1

A Predictive Method to Determine Incomplete Electronic Medical Records

Talaei-Khoei, A., Motiwalla, L., & Kazemi, S. (2018) · SIGMIS-CPR · doi:10.1145/3209626.3209706 · Cited by 1

Classifying Diabetes Disease Using Feedforward MLP Neural Networks

Al-Khasawneh, A. M., & Hijazi, H. (2018) · Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · doi:10.4018/978-1-5225-6164-4.ch006 · Cited by 1

Robust identification of unknown inputs in electrical stimulation of ex-vivo animal models

Salgado, I., Alfaro-Ponce, M., Camacho, O., & Chaírez, I. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.03.013 · Cited by 1

Epilogue: Artificial Intelligence Methods

Jaramillo, S., Valencia, J. F., & Gambús, P. L. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316443217.020 · Cited by 1

A Surrogate Data-Based Approach for Validating Deep Learning Model Used in Healthcare

Srivastava, M. (2020) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-7998-2101-4.ch009 · Cited by 1

Exploration and neural network medical data analysis of patients consuming benzodiazepines

Bondarev, N. V. (2019) · Klinical Informatics and Telemedicine · doi:10.31071/kit2019.15.13 · Cited by 1

Deep Learning Techniques for Prediction, Detection, and Segmentation of Brain Tumors

Jayanthi, P., & Iyyanki, M. (2020) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/978-1-7998-3591-2.ch009 · Cited by 1

Computational Models for Diagnosing Tuberculosis: A Systematic Review

Ogunbodede, O., Akinnuwesi, B. A., & Aribisala, B. S. (2017) · JOURNAL OF RESEARCH AND REVIEW IN SCIENCE · doi:10.36108/jrrslasu/7102/40(0120 · Cited by 1

Brain-Inspired Framework for Image Classification with a New Unsupervised Matching Pursuit Encoding

Song, S., Ma, C., & Yu, Q. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-63836-8_18 · Cited by 1

Microfluidic Cyberphysical Diagnostic System: An ANN Based Application

Roy, P., Sahoo, A., Chakrabarty, M., & Rahaman, H. (2020) · International Symposium on Devices, Circuits and Systems (ISDCS) · doi:10.1109/isdcs49393.2020.9263010 · Cited by 1

Use of AI and Machine Learning for Asthma Patients: A Systematic Literature Review

Fadziso, T. (2020) · Malaysian Journal of Medical and Biological Research · doi:10.18034/mjmbr.v7i2.517 · Cited by 1

Prediction of Shear Modulus from Adaptive Neuro-fuzzy Inference System

Kumar, V. P., & Saikiran, K. (2020) · Lecture notes in civil engineering · doi:10.1007/978-981-15-6086-6_78 · Cited by 1

Cancer Detection using Artificial Neural Networking Techniques: A Study

Bale, A. S., Venugopal, S., Gupta, A., B, P. K. S., Prajwal, R., Paul, J. R., & Naidu, A. S. (2021) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icac3n53548.2021.9725641 · Cited by 1

A General Medical Diagnosis System Formed by Artificial Neural Networks and Swarm Intelligence Techniques

Vasant, P. (2019) · IGI Global eBooks · doi:10.4018/978-1-5225-8903-7.ch031 · Cited by 1

Prediction of Mental Health using Machine Learning Techniques

Saxena, S. C. (2022) · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · doi:10.55041/ijsrem12833 · Cited by 1

A DISTRIBUTIVE APPROACH TO TACTILE SENSING FOR APPLICATION TO HUMAN MOVEMENT

Mikov, N. (2015) · Brunel University Research Archive (BURA) (Brunel University London) · Cited by 1

Translational research on exhaled volatile organic compounds from bedside to bench

Fijten, R. (2017) · doi:10.26481/dis.20171211rf · Cited by 1

A Comprehensive Study on the Applications of Machine Learning for the Medical Diagnosis and Prognosis of AsthmaPreprint

Kukreja, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.04612 · Cited by 1

Overview Of Recent Advances In Health Care Technology And Its Impact On Health Care DeliveryPreprint

Editor, I. (2018) · SSRN Electronic Journal · doi:10.5281/zenodo.1233116 · Cited by 1

Support Vector Machines and Adaptive-Network-Based Fuzzy Inference Systems in medical diagnosis

Karimpour, M., & Sistani, M. B. N. (2012)

Compression of climate data through Artificial Neural Networks

Puri, A. (2020) · Digital Scholarship - UNLV (University of Nevada Reno) · doi:10.34917/8220154

Dynamic two-phase flow in porous media and its implications in geological carbon sequestration

Abidoye, L. K. (2014) · Loughborough University Institutional Repository (Loughborough University)

Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks

Mahmoudian, M., Ghaemi, A., & Hashemabadi, H. (2016) · DOAJ (DOAJ: Directory of Open Access Journals)

Forecasting emergent Computed Tomography demand in large medical institute

Luo, L., Hou, X., Liu, H., & Shi, Y. (2016) · International Conference on Service Systems and Service Management · doi:10.1109/icsssm.2016.7538654

Computational approach to detect the culprit genes responsible for a Disease

War, D. K., & Saha, G. K. (2015) · International Symposium on Advanced Computing and Communication (ISACC) · doi:10.1109/isacc.2015.7377311

Computer simulation of an excess proton in aqueous systems

Tahat, A. (2016) · doi:10.5821/dissertation-2117-96386

GGene clustering using Gene expression data and Self-Organizing Map (SOM)

Keškić, L., Hodžić, J., & Alispahić, B. (2017) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-981-10-4166-2_69

Proposed Model for an Expert System for Diagnosing Degenerative Diseases – Using Digital Image Processing with Neural Network

Desai, M. N., Dahiya, V., & Singh, A. K. (2017) · Smart innovation, systems and technologies · doi:10.1007/978-3-319-63673-3_8

An Integrated Model of Data Envelopment Analysis and Artificial Neural Networks for Improving Efficiency in the Municipal Solid Waste Management

Cavallín, A., Frutos, M., Vigier, H. P., & Rossit, D. G. (2017) · Advances in business information systems and analytics book series · doi:10.4018/978-1-5225-2990-3.ch009

Human Error Control Processes with Cognitive Modelling in Telehealth

Alwawi, I., & Holt, P. O. (2016) · International Journal of Computer & Software Engineering · doi:10.15344/2456-4451/2016/108

Modern Perceptions of Work Ethic and the Dynamics of Healthcare Human Resource Planning in Pakistan

Mustafa, T., Lulin, L., Abdullahi, Z. J., & Nisar, N. (2017) · Canadian Journal of Applied Science and Technology - Canadian Journal of Applied Science and Technology

Determining Headache Diseases With Genetic Algorithm

Çelik, G. (2018) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/978-1-5225-4769-3.ch012

Decision Support System for Diabetes Classification Using Data Mining Techniques

Al-Khasawneh, A. (2018) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-5460-8.ch012

A hybrid mortality prediction model of patients with cavitary pulmonary carcinomasPreprint

Saad, M. B. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/341156

Intelligent System using Neural Network Classifier for Glaucoma Diagnosis

Ranadive, F. (2018) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2018.3531

Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques

Morani, K., Eigner, G., Ferenci, T., Kovács, L., & Engin, Ş. N. (2018) · IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) · doi:10.1109/saci.2018.8440931

An Incisive Purview on the Artificial Intelligence in the Field of Imaging

Basak, S. (2018) · Journal of Health Education Research & Development · doi:10.4172/2380-5439.1000269

Design and Development of an optimal algorithm to assign applicants to suitable teaching positions

Chishimba, M., & Kunda, D. (2018) · Zambia ICT Journal · doi:10.33260/zictjournal.v2i2.59

Implementation of an Artificial Neural Network on the Test Barcelona Workstation As a Predictive Model for the Classification of Normal, Mild Cognitive Impairment and Alzheimer’s Disease Subjects Using the Neuronorma Battery

Rivera, N., Cabrera‐Bean, M., Sánchez‐Benavides, G., Gallego-González, C., Lupiáñez-Pretel, J. A., & Peña‐Casanova, J. (2018) · KnE Life Sciences · doi:10.18502/kls.v4i8.3334

Using Robot and Electric Drive in Fall Prediction

Ding, W., & Engel, W. (2018) · International Conference on Electrical Power Drive Systems (ICEPDS) · doi:10.1109/icepds.2018.8571820

Model Checking an Artificial Neural Networks System in Medical Diagnosis

Yin, S., Xing, R., Liu, X., Yi, Y., Zheng, K., & Huang, X. (2018) · International Conference on Information Technology in Medicine and Education · doi:10.1109/itme.2018.00191

Developing a decision support system for osteoporosis Prediction

Langarizadeh, M., Owji, L., & Orooji, A. (2019) · Mudīrīyyat-i salāmat. · doi:10.29252/jha.21.74.87

Comparison between A-mode and B-mode ultrasound in local hyperthermia monitoring

Aziz, C., & Aziz, M. N. C. (2017)

Radiomics for diagnosis and assessing brain diseases: an approach based on texture analysis on magnetic resonance imaging

Ortiz-Ramón, R. (2019) · RiuNet (Universitat Politècnica de València) · doi:10.4995/thesis/10251/119118 · Cited by 2

Artificial Neural Network Research in Online Social Networks

Walczak, S. (2018) · Int. J. Virtual Communities Soc. Netw. · doi:10.4018/ijvcsn.2018100101 · Cited by 1

1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ

Yıldız, F. (2019) · Uludağ University Journal of The Faculty of Engineering · doi:10.17482/uumfd.410963

Modelling Social Networks Using Modified Hopfield Neural Network and Identify Leadership Traits

Kapoor, A., Singh, N., & Motilal, V. (2019) · International Conference on Advanced Computational and Communication Paradigms (ICACCP) · doi:10.1109/icaccp.2019.8882892

Machine Learning Based Predictive Models and Its Performance Evaluation on Healthcare Systems

Veerasekaran, K., & Sudhakar, P. (2019) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-34080-3_76

Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning

Malaquias, K., Lima, T., Santana, R., Salgado, F., Teodoro, M. L. M., & Nobre, C. N. (2019) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2019.8914067

Detection of quasi-harmonic signals with a priori unknown parameters in strong additive noise by machine learning methods

Nevzorov, A. A., Orlov, A. A., & Stankevich, D. A. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1368/5/052014

Conventional and deep feature oriented quality inspection of internal defected eggs using infrared imaging

Roy, S. D., Das, D. H., & Bhowmik, M. K. (2019) · International Conference on Networking, Systems and Security (NSysS) · doi:10.1145/3362966.3362969

Implementation of artificial neural networks and neurocomputers in medicine: From fantastic idea to intelligent screening systems

Živanović, D., Javorac, J., Javorac, T., & Kralj, M. (2019) · Zdravstvena zastita · doi:10.5937/zz1904043z

Image segmentation in microscopic single cell analysis

Schwendy, M. (2018) · MPG.PuRe (Max Planck Society)

Learning to walk - reward relevance within an enhanced neuroevolution approach

Colucci, I., Pellegrino, G., Cioppa, A. D., & Marcelli, A. (2020) · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · doi:10.1145/3377929.3398126

Processing with Patients’ Statements: An Advanced Disease Diagnosis Technique

Hossain, S., Hasan, M. Z., & Rakshit, A. (2020) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-52856-0_29

Modelo computacional para apoio à decisão clínica no diagnóstico de transtornos psicóticos

Carvalho, I. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.55.2020.tde-23102020-164048

Incremental Verification of Fixed-Point Implementations of Neural NetworksPreprint

Sena, L. H., Alves, E. H. D. S., de Bessa, I. V., Filho, E. B. L., & Cordeiro, L. C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.11220

First-Time Leaders and Implicit Leadership Theory

Walczak, S. M. (2021) · Advances in logistics, operations, and management science book series · doi:10.4018/978-1-7998-7592-5.ch007

Variational Laplace for Bayesian neural networksPreprint

Unlu, A., & Aitchison, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.10443 · Cited by 2

Artificial Intelligence in Health Care: Ethical Challenges

Sareen, R. (2021) · Journal of Pulmonary Medicine

Fever Status Detection using Artificial Neuron Network

Nchena, L., & Janáčová, D. (2021) · International Conference on Enterprise Information Systems · doi:10.5220/0010485407760781

PERSPECTIVES FOR THE USE OF ARTIFICIAL NEURAL NETWORKS IN FORENSIC MEDICINE (LITERATURE REVIEW)

Gunas, I. V., Bachynskyі, V., Popadynets, O. H., Кіндратів, Е. О., & Kozovyi, R. (2020) · Sudovo-medična ekspertiza · doi:10.24061/2707-8728.1.2020.2

Breast Cancer Prediction Through Multilayer Artificial Neural Network

Alka, K., & Gupta, R. K. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-33-4687-1_20

A Methodology for Applying Machine Learning Algorithms in the Medical Industry

Shah, B., & Shah, P. H. (2021) · International journal of advance research and innovative ideas in education

Improving learning in neural networks through weight initializations

Mittal, A., Singh, A. P., & Chandra, P. (2021) · Journal of Information and Optimization Sciences · doi:10.1080/02522667.2020.1826606

Role of Neural Network in Healthcare System

Dubey, K. B., & Shrivastava, G. (2021) · International Journal of Computer Applications · doi:10.5120/ijca2021921406

Application of Multi Layer Neural Network in Medical Diagnosis: an Efficient Survey

Rana, A., Rawat, A. S., Bahuguna, H., & Bijalwan, A. (2018) · International Journal of Engineering & Technology · doi:10.14419/ijet.v7i3.34.19366 · Cited by 1

Artificial Neural Network in Medicine

Albu, A., & Ungureanu, L. (2008)

ปญญาประดษฐทางการแพทย

Koyvanich, K. (2021) · VCHPK Health and Public Health Sciences Journal

Medical diagnosis using artificial neural networks

Begum, A., Rahman, M. M., & Jahan, S. (2024) · Mathematics in Applied Sciences and Engineering · doi:10.5206/mase/17138 · Cited by 1

Artificial neural networks for medical diagnosis using biomedical dataset

Shayea, Q. A., Refae, G. A. E., & Yaseen, S. G. (2013) · International Journal of Behavioural and Healthcare Research · doi:10.1504/ijbhr.2013.054519 · Cited by 22