Multiple Disease Prediction Using ML
نویسندگان
چکیده
Accurate and on-time analysis of any health-related drawback is vital for the interference treatment sickness. The normal method diagnosing might not be sufficient within case a significant illness. Developing medical system supported machine learning (ML) algorithms prediction unwellness will facilitate during lot correct diagnosis than standard methodology. We've designed disease using ML. Disease Prediction System Machine Learning could that predicts sickness data or symptoms he/she enter into gives results data. This predictive completed entirely with assistance Machines Python programing language its Flask Interface mistreatment antecedently offered databases hospitals use we'll predict unwellness.
منابع مشابه
MULTIPLE ENCHONDROMATA: OLLIER\'S DISEASE
This report is a brief presentation of one case of Oilier's disease. Ollier's disease (multiple enchondromata) patients have widespread involvement of the skeleton, especially the hands the lesions are detected because of bone pain or deformity. Virtually all cases have been sporadic. Roentgenographically, the lesions may be detectable in early infancy as clear, homogeneous, oval lesions w...
متن کاملCalpain Cleavage Prediction Using Multiple Kernel Learning
Calpain, an intracellular Ca²⁺-dependent cysteine protease, is known to play a role in a wide range of metabolic pathways through limited proteolysis of its substrates. However, only a limited number of these substrates are currently known, with the exact mechanism of substrate recognition and cleavage by calpain still largely unknown. While previous research has successfully applied standard m...
متن کاملUsing Multiple Alignments to Improve Gene Prediction
The multiple species de novo gene prediction problem can be stated as follows: given an alignment of genomic sequences from two or more organisms, predict the location and structure of all protein-coding genes in one or more of the sequences. Here, we present a new system, N-SCAN (a.k.a. TWINSCAN 3.0), for addressing this problem. N-SCAN can model the phylogenetic relationships between the alig...
متن کاملPrediction of English Language Proficiency Level Using Multiple Intelligences Theory and Critical Thinking Skills
The present study investigated the possible relationships between multiple intelligences, critical thinking and language proficiency level of Iranian English as Foreign Language (EFL) learners. The participants of the study included 117 intermediate young - adult EFL learners from ILI language i n- st i tute in Tehran, Iran. The participants were invited to complete MIDAS and Critical thinking ...
متن کاملBulk Synchronous Parallel ML: Modular Implementation and Performance Prediction
BSML is a library for parallel programming with the functional language Objective Caml. It is based on an extension of the λcalculus by parallel operations on a parallel data structure named parallel vector. The execution time can be estimated, dead-locks and indeterminism are avoided. Programs are written as usual functional programs (in Objective Caml) but using a small set of additional func...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International journal of recent technology and engineering
سال: 2023
ISSN: ['2277-3878']
DOI: https://doi.org/10.35940/ijrte.a7568.0512123