Autism in Toddlers: Can Observation in Preschool Yield the Same Information as Autism Assessment in a Specialised Clinic? by Gunilla Westman Andersson, Carmela Miniscalco, Ulrika Johansson, Christopher Gillberg

“…The only significant difference found was with regard to spontaneous initiation of joint attention. …”
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Diagnosis of citrus leaf canker disease based on naive Bayesian classification by SHU Meiyan, WEI Jiaxi, ZHOU Yeying, DONG Qizhou, CHEN Haochong, HUANG Zhigang, MA Yuntao

“…The digital images of leaves with different severities of citrus leaf canker disease were used as the data source. …”
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THE METHOD FOR PREDICTING THE TYPE OF SCAR TISSUE IN THE TREATMENT OF BURN WOUNDS by Yu. V. Yurova, E. V. Zinoviev, K. M. Krylov

“…Based on the results of the study, we developed the diagnostic algorithm for predicting the development of various types of scar tissue. …”
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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

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Comprehensive analysis of IRF8-related genes and immune characteristics in lupus nephritis by Zhibin Yu, Chenghui Zheng, Yilun Wang

“…A diagnostic classifier was built using the RandomForest method to evaluate the diagnostic potential of selected key genes. …”
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Nonpuerperal Uterine Inversion: What the Gynaecologists Need to Know? by R. P. Herath, M. Patabendige, M. Rashid, P. S. Wijesinghe

“…Nonpuerperal uterine inversion (NPUI) is a rare clinical problem with diagnostic and surgical challenges. The objective of our study was to review the literature on NPUI and describe causative pathologies, diagnosis, and different surgical options available for treatment. …”
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Prediction of winter wheat nitrogen nutrition index using high-resolution satellite and machine learning by Po-Ting Pan, Yamine Bouzembrak, Miguel Quemada, Bedir Tekinerdogan

“…This study also demonstrated weather data improved model performance across all three algorithms with the highest accuracy of 79.12 % in the RF algorithm. …”
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Fault Diagnosis Based On Improved Information Entropy And 1dcnn For Marine Turbocharger Rotor With Variable Speed by Hu Lei, Hu Haoran, Hu Nao, Liu Luyuan, Dong Fei, Yang Jianguo, Zhong Jiahong

“…Faults in the turbocharger rotor at the different speeds are classified using a one-dimensional convolutional neural network (1DCNN), and the arithmetic ability of the diagnostic algorithm is evaluated. …”
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Estimating the time of Highly Pathogenic Avian Influenza virus introduction into United States poultry flocks during the 2022/24 epizootic. by Amos Ssematimba, Sasidhar Malladi, Peter J Bonney, Kaitlyn M St Charles, Holden C Hutchinson, Melissa Schoenbaum, Rosemary Marusak, Marie R Culhane, Carol J Cardona

“…Mathematical modeling techniques, specifically the Approximate Bayesian Computation algorithm in conjunction with a stochastic within-flock HPAI transmission model were used in the analysis. …”
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy by Guanmeng Gao, Zihan Wei, Fei Pei, Yajie Du, Beiying Liu

“…Finally, the diagnoses of different pathologists with/without AI assistance were compared. …”
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IVIM-DWI-based radiomic model for preoperative prediction of hepatocellular carcinoma differentiation by ZHUANG Yuxiang, LI Xiaofeng, ZHOU Daiquan

“…Support vector machine (SVM), logistic regression (LR) and random forest (RF) algorithms were utilized to construct different image omics models. …”
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Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach by Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V. G., Arun G. Maiya

“…The Win-Track platform was used to gather clinical and plantar pressure data from 86 diabetic patients with different degrees of neuropathy. An automated image processing algorithm segmented plantar pressure images into forefoot and hindfoot regions for precise pressure distribution measurement. …”
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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

“…The use of large-scale MLD improves diagnostic accuracy and allows for real-time disease monitoring. …”
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Fault Diagnosis and Tolerant Control of Current Sensors Zero-Offset Fault in Multiphase Brushless DC Motors Utilizing Current Signals by Wei Chen, Zhiqi Liu, Zhiqiang Wang, Chen Li

“…Firstly, sliding time window monitoring is used to identify steady-state amplitude anomalies and locate faulty sectors. Subsequently, an algorithm for detecting the difference in current changes during sector switching is designed, and a logic interlocking verification mechanism is combined to eliminate false triggering and accurately locate single or multiple fault phases. …”
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Neuroscience-informed nomogram model for early prediction of cognitive impairment in Parkinson's disease by Sudharshan Putha, Swaroop Reddy Gayam, Bhavani Prasad Kasaraneni, Krishna Kanth Kondapaka, Sateesh Kumar Nallamala, Praveen Thuniki

“…Performance evaluation of the model demonstrated high accuracy, consistency, and clinical applicability, significantly enhancing diagnostic efficiency for neurologists. Furthermore, the model provides visual comparisons of patient distributions across different predictor values, enabling personalized risk assessments. …”
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Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review by Andrew Booth, Duncan Chambers, Anna J Cantrell, Maxine Johnson, Louise Preston, Susan K Baxter, Janette Turner

“…Evidence on patient safety was weak. Diagnostic accuracy varied between different systems but was generally low. …”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

“…The study identified important pre-diagnostic factors for the choice of a diagnostic algorithm for breast examination in women of different age groups, and determined the indications for 3D ultrasound. …”
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Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Quantitative scores for 28 immune cell infiltrates and the tumor microenvironment were computed using single-sample gene set enrichment analysis (ssGSEA) and the Estimate algorithm. Subtype feature genes were selected through Lasso logistic regression and SVM-RFE algorithm. …”
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High‑frequency skin ultrasound possibilities in terms of diagnosing liver cirrhosis by D. Yu. Shestakova, A. V. Borsukov

“…To assess the potential of using high‑frequency ultrasound examination of the palm skin in a comprehensive diagnostic algorithm for patients with liver cirrhosis.Patients and methods. …”
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Raman Hyperspectroscopy and Chemometric Analysis of Blood Serum for Diagnosing Celiac Disease in Adults by Entesar Al-Hetlani, Lamyaa M. Almehmadi, Igor K. Lednev

“…Celiac disease (CD) is a chronic autoimmune disorder triggered by an abnormal immune response to gluten, a protein found in wheat, barley, and rye. Current diagnostic methods, including serological assessments and biopsies, can be challenging due to the disease’s heterogeneous nature, creating a need for a reliable, noninvasive diagnostic approach. …”
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