The accuracy of the proposed Random Forest Classifier model on the given dataset was 91.06%. Our prediction model can go about as a specialist for the early finding of disease to guarantee the treatment can happen on schedule and lives can be saved.Shah, Deep Rahul...
Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. Identification of PD biomarkers is crucial for early diagnosis and to develop target-based therapeutic agents. Integrative analysis of genome-scale metabolic model
Deep learning (DL) techniques overcome the limitations of medical computer-aided diagnosis (CAD) systems to automatically extract discriminative features on image data4. End-to-end learning systems involving risk assessment prediction for diseases have four main steps, such as feature extraction, segment...
Parkinson´s disease (PD) is a progressive neurodegenerative disorder characterized by both motor and non-motor symptoms. Aggravation of symptoms is mi
PREDICT utilizes multiple drug-drug and disease-disease similarity measures for the prediction task [34]. PREDICT first trains a logistic regression classifier using known drug-disease associations. It then classifies additional drug-disease associations based on their similarity to the known associations....
The symptoms affecting PD patients can be diverse and monitoring only one of them might be insufficient for providing a good estimate of the disease progression. Using multiple modalities for assessing the patient's state could be beneficial. These can also be integrated in the day to day activit...
To assess cross-study portability and prediction rate for other diseases, ML models were applied to external datasets using themake.predictionsfunction in SIAMCAT. In short, the function uses the normalization parameters of the discovery dataset to normalize the external data in a comparable way and...
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. Nucleic Acids Res. 2022;50:W228-34. Article CAS PubMed PubMed Central Google Scholar Hallgren J, Tsirigos KD, Pedersen MD, Armenteros JJA, Marcatili P, Nielsen H, et al. DeepTMHMM predicts alpha ...
The prediction accuracy using the facial micro-expressions was comparable to methodologies that utilize motor symptoms. Logistic regression analysis revealed that participants with PD had less variance in AU6 (cheek raiser), AU12 (lip corner puller), and AU4 (brow lowerer) than non-PD individuals...
Validation of the prediction model is an essential step in machine learning processes. In this paper, the K-Fold cross-validation method is applied to validating the results of the above-mentioned classification models. K-fold cross validation (CV) In K-Fold CV, the whole dataset is split int...