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Jun 2026 DOI 10.14302/issn.2474-7785.jarh-26-6358
Ray MarksCorresponding author
Hip fractures, which remain an immense public health concern, have been subject to study and prevention efforts for many decades, but with limited success in averting either incident, second or subsequent hip fractures, commonly attributed to a combination of age related proclivity to fall, low bone…
Dec 2025 DOI 10.14302/issn.2641-4538.jphi-25-5886
Patricia Y. TalbertCorresponding author
Objective Diabetes poses significant public health challenges, with many individuals remaining undiagnosed and at risk of complications. This study aimed to evaluate the performance of decision tree ensemble methods for predicting diabetes onset using the Framingham Heart Study Teaching Dataset and…
Oct 2023 DOI 10.14302/issn.2768-0207.jbr-23-4753
Raúl IseaCorresponding author
The rapid growth of data and scientific journals has led to the promotion of data-based hypotheses. Data-driven hypotheses can also be used to establish new scientific laws or confirm existing ones, demonstrating the foundation of this philosophy. To introduce this idea, this article presents a Pyth…
Jun 2023 DOI 10.14302/issn.2692-1537.ijcv-23-4586
Raúl IseaCorresponding author
The goal is to do a text mining analysis of all scientific publications and find out what journal and what aspects are studying about the conspiracy theories of Covid-19. For this purpose, all publications available in the National Center for Biotechnology Information (NCBI) database were consulted…
Apr 2023 DOI 10.14302/issn.2644-1101.jhp-23-4549
Mary Anne DeVivioCorresponding author
This article argues that collecting school data on bullying and harassment must be paired with transparent analysis and targeted interventions. It outlines governance, feedback loops, and practical steps to translate data into safer environments.
Mar 2023 DOI 10.14302/issn.2768-0207.jbr-23-4478
Youssef FAKIRCorresponding author
Spatial data mining (SDM) is searching important relationships and characteristics that can clearly exist in spatial databases. This content aims to compare object clustering algorithms for spatial data mining, before identifying the most efficient algorithm. To this end, this paper compare k-means,…
Sep 2022 DOI 10.14302/issn.2641-4538.jphi-22-4280
Erigene RutayisireCorresponding author
The study evaluated the users' opinions on data quality and related characteristics in ten public-health institutions of Nyarugenge district. A study used a cross-sectional design, data was collected through quantitative (n=150) methodology while qualitative data was obtained using interviews (n=20)…
Jan 2022 DOI 10.14302/issn.2768-0207.jbr-21-4048
Donald L. BureshCorresponding author
The purpose of this essay is to discuss the advantages and disadvantages and the benefits and costs of Big Data. The paper outlines the relevant federal and state privacy laws, including the California Consumer Privacy Act as amended, the Virginia Consumer Data Protection Act, and the Colorado Priva…
Nov 2021 DOI 10.14302/issn.2691-8862.jvat-21-3991
Raúl IseaCorresponding author
The objective of this paper is to apply datadriven discovery of dynamics modeling to obtain a system of differential equations that allows us to describe the transmission dynamics of Covid-19, based on the number of confirmed cases and deaths reported daily. This methodology was applied in four diff…
Aug 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3918
Raúl IseaCorresponding author
Mathematical and computational studies of Covid-19 have underestimated the influence that other countries have on their daily records. To visualize this, a Granger causality analysis was implemented in Python to determine if the cases registered in Brazil, Chile, Colombia, Ecuador, Panama, Paraguay,…
Jun 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3796
Stanley RajCorresponding author
Geoelectrical resistivity data collected from the ground contain lot of noises and errors. It requires efficient algorithm to reduce the errors to make an actual inversion models. Though different algorithm can be applied, nature inspired algorithm is more potential in inverting geoelectrical data i…
Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
Bin ZhaoCorresponding author
With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work,…
Nov 2020 DOI 10.14302/issn.2641-4538.jphi-20-3621
Manfred StapffCorresponding author
Context In the face of further waves of the COVID-19 pandemic it becomes essential to find a balance between protective actions to guard public health and restrictive measures which can collapse our economy. Background As a basis for public health decisions, officials still rely on metrics which wer…
Aug 2020 DOI 10.14302/issn.2381-862X.jwrh-20-3439
Daniel AbomaCorresponding author
Background Pregnancy and parturition are events of considerable significance in the life cycle of women. Though it is supposed that the quality of care during labor, birth, and postpartum period plays a great role for adverse outcomes of birth, various reports claimed that cesarean delivery carries…
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
A. Stanley RajCorresponding author
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken…
Apr 2020
A. Stanley RajCorresponding author
Geoelectrical resistivity data is used for estimating the subsurface features of earth. It is very difficult to estimate the depth and true resistivity analytically, therefore many mathematical models approximates the result. The approximation relies on many parameters as the heterogenous model of e…
Jan 2019 DOI 10.14302/issn.2574-4496.jtc-18-2473
Yasushi NoguchiCorresponding author
This study aimed to investigate the trend of patients with thyroid cancer undergoing thyroidectomy and those undergoing fine needle aspiration (FNA) and its relationship with thyroid cancer, using a large-scale, real-world database established based on the employment-based health insurance claims da…
Sep 2018
Mauro GiammarinoCorresponding author
Groups of wild juvenile and adult mallard ducks were captured, ringed, measured, while, juvenile ones already ringed, were remeasured on a subsequent recapture between March and September over a period of 7 years, at a site in Piedmont (Italy). Measurements cover both the rates and the pattern of de…
Apr 2018 DOI 10.14302/issn.2768-0207.jbr-17-1925
Qifeng BaiCorresponding author
Big data research has become popular and exciting studies in almost all scientific fields such as biology, chemistry, epidemiology, medicine and drug discovery. The various systems and platforms produce large amounts of data every day. It will be very helpful for the researchers and workers to deal…
Mar 2018
Xiaoping LiuCorresponding author
An important use of proteomics data from Mass Spectrometry (MS) is the classification of tumor types with respect to peptides in specific cancer types. It is highly critical to find an optimal set of markers among specific cancer peptides whose expression can be clinically utilized to build assays f…