Building an explainable diagnostic classification model for brain tumor using discharge summaries
A brain tumor is a mass of cells growing abnormally in the brain. The lesions formed in the
suprasellar region of the brain, called suprasellar lesions, affect common anatomical …
suprasellar region of the brain, called suprasellar lesions, affect common anatomical …
A machine learning approach for detecting malicious websites using URL features
AS Manjeri, R Kaushik, MNV Ajay… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
With the advancement in technology, the internet has become a platform for wide range of
illegal activities ranging from spam advertising to financial fraud. Some of these activities are …
illegal activities ranging from spam advertising to financial fraud. Some of these activities are …
Hybrid feature-based invasive ductal carcinoma classification in breast histopathology images
V Snigdha, LS Nair - … Learning and Autonomous Systems: Proceedings of …, 2022 - Springer
Breast cancer appears to be the most dangerous disease infecting women. Invasive ductal
carcinoma is the most prevalent type of cancer that affects the breast. One in eight ladies …
carcinoma is the most prevalent type of cancer that affects the breast. One in eight ladies …
Data preprocessing in knowledge discovery in breast cancer: systematic mapping study
Data Mining (DM) is a set of techniques that allow to analyse data from different perspectives
and summarising it into useful information. Data mining has been increasingly used in …
and summarising it into useful information. Data mining has been increasingly used in …
Predicting Tumor Type and Residual Status of Suprasellar Lesions Using Indian Discharge Summaries
A suprasellar lesion is an unusual mass in the suprasellar region in the brain. Some
common suprasellar lesions include Pituitary Adenoma, Craniopharyngioma and …
common suprasellar lesions include Pituitary Adenoma, Craniopharyngioma and …
A survey of text mining approaches, techniques, and tools on discharge summaries
The discharge summary contains voluminous information regarding the patient like history,
symptoms, investigations, treatment, medication, etc. Though the discharge summary has a …
symptoms, investigations, treatment, medication, etc. Though the discharge summary has a …
A fuzzy-neuro-based clinical decision support system for disease diagnosis using symptom severity
Faster and accurate disease diagnosis is the need of the day. Various diagnostic tools are
available to assist medical practitioners in the form of clinical decision support system …
available to assist medical practitioners in the form of clinical decision support system …
Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context
Breast cancer represents a significant health concern, particularly in Saudi Arabia, where it
ranks as the most prevalent cancer type among women. This study focuses on leveraging …
ranks as the most prevalent cancer type among women. This study focuses on leveraging …
A Machine learning paradigm for explanatory cases with CKD
D Yaramalla, T Singh - 2021 12th International Conference on …, 2021 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) refers to the disorder in kidneys where it can't filter extra
water and wastes out of the blood to make urine as normally. The infection is classified …
water and wastes out of the blood to make urine as normally. The infection is classified …
Predicting the degree of emotional support in an online health forum for HIV using data mining techniques
Abstract Online Health Community (OHC) services are mostly employed for resolving
problems of people with chronic diseases. OHCS also provide social support in addition with …
problems of people with chronic diseases. OHCS also provide social support in addition with …