Journal Name: Frontiers in Health Informatics
Journal ISSN: 2676-7104 (Online)

Frontiers in Health Informatics

is an on-line English peer-reviewed journal for practitioners, researchers and students who are interested in the field of medical informatics and information technology in healthcare sectors. The Journal aims to publish novel and high quality relevant information written by peers to researchers and readers involved in all fields of health informatics and related interdisciplinaries, strives to keep pace with the rapid growth of publications, and move on to the edge of knowledge in this field.

The Editor welcomes original articles on current practice, research projects or the development of new resources or services. Review articles are also welcome. The scope of the journal encompasses (but is not restricted to): - Information systems; - Library and information sciences;- Image Processing; - Computer-aided medical decision support systems; - Educational computer based programs;  -Health technology assessment; -Other related fields; Please read the instructions carefully for details on the submission of manuscripts, the journal's requirements and standards as well as information concerning the procedure after a manuscript has been accepted for publication in Front Health Inform.

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All future submissions for the journal should be directed to the new website at healthinformaticsjournal.com

Call for Papers

2024-06-16

Call for Papers for the New Issue.

Last Date of Submission: September 30th, 2024

Vol. 13 No. 2 (2024)

Published: 2024-08-05

Beacons of Hope: SIOVS and CBM

Shahzad Memon, Fariha Sher Wali, Ahdi Hassan, Waqas Ali Surhio Mohsin Iqbal Haroon, Jalil Ahmed Rajper

01 - 06

Amalgam Based Cardiovascular Disease Prediction Using Xception with XGBoost Model

Kamini Mohite, Chaitanya S. Kulkarni, Ranjeet Vasant Bidwe, Amol Kamble, Deepak Mane, Anand Magar, Sunil Sangve

43 - 55

A Federated Learning Approach for Non-Co-Located Datasets: Enhancing Data Governance and Privacy

Jyoti L. Bangare, Nilesh P. Sable, Parikshit N. Mahalle, Gitanjali R. Shinde

56 - 70

Cataract Diseases Prediction Using Deep Learning

Jayashri Bagade, Sanjeevkumar Angadi, Saili Sable, Amol Golhar, Harshad Bankar, Sanket Bendale

109 - 128

Classifying Brain Tumors from MRI Images Using Object Detection and CNN

R. B. Kakkeri, K. M. Gaikwad, Sunil L. Bangare, Pallavi Ahire, Manoj L. Bangare, Pushpa M. Bangare

142 - 150

Machine Learning Models for Early Detection of Hepatic Disorders Using Clinical Data

Chandrakant D. Kokane, M. K. Kodmelwar, Suhas Chavan, Anand Daulatabad, Vilas Deotare, Himani H. Patel

188 - 203

Integrating AI with Health Informatics for Early Detection of Pancreatic Cancer

Hemchandra V. Nerlekar, Kavita Moholkar, Dhanaji Wagh, Sunil L. Bangare, Mahendra Alate, Yatin Gandhi

204 - 217

Automated Detection of Tuberculosis Using Deep Learning Algorithms on Chest X-rays

Prakash Patil, Bhavesh Kataria, Vivek Redkar, Archana S. Banait, Shilpa C. Patil, Vinit Khetani

218 - 229

Implementation of Convolutional Neural Networks for Lung Cancer Detection from CT Scans

Prashant Rajaram Patil, Balasaheb Balkhande, Anil Bhattad, Navnath B. Pokale, Trupti S. Bhosale, Suvarna Patil

230 - 246

A Hybrid Deep Learning Approach for Accurate Alzheimer's Disease Diagnosis Using MRI Data

Amol Bhoite, D. M. Kanade, Iype Cherian, M. E. Maniyar, Patil Dilip P., Pradnya Suhas Kubal

247 - 563

Machine Learning-Based Predictive Modeling for Early Detection of Liver Cirrhosis

Jadhav Nitin B, Archana S. Banait, Desai Jabbar V., Ranjit M. Gawande, Satish V. Kakade, Sonal Dhole

264 - 280

Integrating Machine Learning Models for Predictive Analytics in Chronic Kidney Disease Management

Abhijeet Nashte, Kajal Abhaysing Chavhan, Ganesh Thorat, Jayashri Bagade, Dheeraj Mane, Shraddha Shingne

281 - 298

Deep Learning-Driven Real-time Monitoring and Detection of Epileptic Seizures

M.B. Bagwan, K .M .Gaikwad, Nelson Nishant Kumar Lyngdoh, R. B. Kakkeri, Swapna Ajay Shedge, Rupesh Mahajan

299 - 312

Machine Learning-Based Breast Cancer Detection Using Histopathological Images

Jyoti L. Bangare, Nilofer Kittad, Sarika N. Joglekar

313 - 326

Leveraging Deep Learning for Early Detection and Classification of Parkinson's Disease

Nilofer Kittad, Jyoti L. Bangare, Sulakshana Nagpurkar

327 - 340

Implementing AI Algorithms for Predicting Diabetes Risk in Patients Using Health Informatics Data

Chandrakant D. Kokane, Rakhi Subhash Pagar, Kishor R Pathak, Yogesh Ramdas Shepal, Deepali Kolte-Patil, Sonali Patil

341 - 356

Automated Detection of Pulmonary Diseases Using Deep Learning on Chest X-ray Images

Sarika T. Deokate, Megha Kadam, Sarita Avinash Patil, Satpalsing Devising Rajput, Shrinivas T. Shirkande, Yogendra Patil

357 - 372

A Comprehensive Overview of Automated Stress Recognition and Emotion Detection Systems using EEG signal

Ashvini Bamanikar, Ritesh V., Lalit V Patil, Surendra. A. Mahajan

382 - 391

Enhanced ECG Signal Detection using ID-CNN with Attention Mechanism

Achamma Thomas, Prasad Lokulwar, Vibha Bora

392 - 398

A Deep Learning Approach to Predicting Stroke Outcomes from Brain Imaging Data

Vidya Chitre, Dilip Motwani, Varsha Bhosale, Suchita Walke

438 - 452

Real-time Cardiac Arrhythmia Detection Using Machine Learning and Wearable Devices

Nilesh P. Sable, Tanaji Anandrao Dhaigude, Shinde Babaso A, Sagar Shinde, Pramod B Dhamdhere, Priya Shelke

453 - 466

Deep Learning for Accurate Detection of Multiple Sclerosis in MRI Scans

Nidhi Ranjan, Balasaheb Balkhande, Sanjivani Deokar, Torana Kamble, Chaitrali Chaudhari, Shrinivas T. Shirkande

467 - 480

Leukemia Diagnosis using Transfer Learning: An Efficient Approach

Ratnamala Mantri (Paswan), Rais Abdul Hamid Khan, Suramya Jadhav

481 - 496

Evaluating the Impact of Telemedicine on Patient Care and Health Outcomes with Data-Driven Approaches in Remote Health Monitoring Systems

Suresh Limkar, Latika Rahul Desai, Lalita Kiran Wani, Smita Desai, Priti Shende, Jitendra Jawale

497 - 508

"Empirical Analysis of Transformer Models and Pretrained Convolutional Neural Networks for Medicinal Plant Identification and Classification"

Sheetal S. Patil, Suhas H. Patil, Avinash M. Pawar, Gauri R. Rao, Rohini B. Jadhav, Dharmesh Dhabliya

509 - 522

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