diseases

Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh | BMC Psychiatry

admin November 23, 2025

World Health Organization (WHO). Noncommunicable diseases. 23 Dec 2024 . Available: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseasesWorld Health Organization (WHO). The top 10 causes of...

Development of a machine learning model for early pulmonary tuberculosis diagnosis using blood test biomarkers | BMC Infectious Diseases

admin November 12, 2025

Teo AKJ, Singh SR, Prem K, Hsu LY, Yi S. Duration and determinants of delayed tuberculosis diagnosis and treatment in...

Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction | BMC Infectious Diseases

admin August 26, 2025

Baseline characteristicsBoxplots grouped by ANLR quartiles (Fig. 2) show that NLR levels progressively decreased, while albumin levels gradually increased across quartiles....

Examining socioeconomic differences in sepsis risk and mediation by modifiable factors: a Mendelian randomization study | BMC Infectious Diseases

admin May 24, 2025

Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, Colombara DV, Ikuta KS, Kissoon N, Finfer S,...

Identifying diseases symptoms and general rules using supervised and unsupervised machine learning

admin August 4, 2024

In this section, we analyze data to investigate disease symptoms using AR and predictive modeling.Data preparationAs shown in Table 1,...

diseases

Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh | BMC Psychiatry

Development of a machine learning model for early pulmonary tuberculosis diagnosis using blood test biomarkers | BMC Infectious Diseases

Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction | BMC Infectious Diseases

Examining socioeconomic differences in sepsis risk and mediation by modifiable factors: a Mendelian randomization study | BMC Infectious Diseases

Identifying diseases symptoms and general rules using supervised and unsupervised machine learning

‘Playful’ teaching gaining credibility, say Lego researchers

AI-guided competitive docking for virtual screening and compound efficacy prediction

Stratasys launches multi-material 3D printed model preset for dental training

Dhammajarinee Witthaya School pioneers learning transformation through AI and Buddhist principles to build “Bridge of Opportunity” for Thai youth

K12 Education Technology Analysis Report 2026: $96.5 Bn

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