Modeling Factors Associated With Diarrhea Caused by <i>Cryptosporidium</i> Species Using Machine Learning Methods

These findings underscore the importance of water quality improvements, including efforts to address water disinfection, particularly in areas with household crowding and inadequate sanitation access.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Laboratory Analysis
Published
2025-12-17
DOI
https://doi.org/10.1002/jcla.70150
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods

Türkan Mutlu Yar, Ülkü Karaman, Zeynep Küçükakçalı
Journal of Clinical Laboratory Analysis
Parasitic Infections and Diagnostics
article

Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods

Türkan Mutlu Yar, Ülkü Karaman, Zeynep Küçükakçalı
article en

Abstract

These findings underscore the importance of water quality improvements, including efforts to address water disinfection, particularly in areas with household crowding and inadequate sanitation access.

Journal of Clinical Laboratory AnalysisVol. 40(3)
Institute for Medical Informatics and Biostatistics (CH), Ordu University (TR)
Openalex Percentile: Top 56%
Parasitic Infections and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.