[HTML][HTML] Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

MM Islam, MJ Alam, M Maniruzzaman, NAMF Ahmed… - Plos one, 2023 - journals.plos.org
Background and objectives Hypertension (HTN), a major global health concern, is a leading
cause of cardiovascular disease, premature death and disability, worldwide. It is important to …

[HTML][HTML] Supervised algorithms of machine learning for the prediction of cervical cancer

F Asadi, C Salehnasab, L Ajori - Journal of biomedical physics & …, 2020 - ncbi.nlm.nih.gov
Background: Compared to other genital cancers, cervical cancer is the most prevalent and
the main cause of mortality in females in third-world countries, affected by different factors …

Predictive analysis using machine learning: Review of trends and methods

PL Bokonda, K Ouazzani-Touhami… - … on Advanced Electrical …, 2020 - ieeexplore.ieee.org
Artificial Intelligence (AI) has been growing considerably over the last ten years. Machine
Learning (ML) is probably the most popular branch of AI to date. Most systems that use ML …

[HTML][HTML] Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey

MU Sreeja, AO Philip, MH Supriya - … of King Saud University-Computer and …, 2024 - Elsevier
Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …

[HTML][HTML] Machine learning approaches for the prediction of postoperative complication risk in liver resection patients

S Zeng, L Li, Y Hu, L Luo, Y Fang - BMC medical informatics and decision …, 2021 - Springer
Background For liver cancer patients, the occurrence of postoperative complications
increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients …

Impact of lean six sigma at pharmacy unit on hospital profitability before and during Covid-19 pandemic

AH Iswanto - International Journal of Lean Six Sigma, 2021 - emerald.com
Purpose The purpose of this paper is to compare the impact of lean six sigma (LSS)
implementation carried out in a pharmaceutical unit on the profitability of outpatient and …

[HTML][HTML] Prediction and detection of cervical malignancy using machine learning models

S Devi, SR Gaikwad, R Harikrishnan - Asian Pacific journal of …, 2023 - ncbi.nlm.nih.gov
Objective: Human papillomavirus and other predicting factors are responsible causing
cervical cancer, and early prediction and diagnosis is the solution for preventing this …

[HTML][HTML] An intelligent clinical decision support system for predicting acute graft-versus-host disease (aGvHD) following allogeneic hematopoietic stem cell …

C Salehnasab, A Hajifathali, F Asadi… - Journal of Biomedical …, 2021 - ncbi.nlm.nih.gov
Background: Acute graft-versus-host disease (aGvHD) is a complex and often multisystem
disease that causes morbidity and mortality in 35% of patients receiving allogeneic …

Building a predictive model to assist in the diagnosis of cervical cancer

EK Drokow, AA Baffour, CY Effah, C Agboyibor… - Future …, 2022 - Taylor & Francis
Aim: Cervical cancer is still one of the most common gynecologic cancers in the world. Since
cervical cancer is a potentially preventive cancer, earlier detection is the most effective …

Analisis Faktor Risiko Pada Kejadian Masuk Rumah Sakit Penyakit Jantung Koroner di Rumah Sakit Husada Utama Surabaya

SD Sawu, AAP Setiadi… - Jurnal Sains dan …, 2022 - repository.ubaya.ac.id
Abstrak Penyakit Jantung Koroner (PJK) merupakan salah satu penyebab kematian
terbesar di seluruh dunia. Terdapat berbagai faktor yang mempengaruhi morbiditas dan …